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JACIII

ESCI

Journal of Advanced Computational Intelligence and Intelligent Informatics

ISSN : 1343-0130(Print) / 1883-8014(Online)
DOI : 10.20965/jaciii.issn.1883-8014
Honorary Editor : Lotfi A. Zadeh (University of California)
Editors-in-Chief : Toshio Fukuda (Meijo University),
Kaoru Hirota (Beijing Institute of Technology; JSPS Beijing Office)

Indexed in ESCI, Scopus, Compendex (Ei)

Scopus
  • In Cooperation with :
  • International Fuzzy Systems Association (IFSA), Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT), Brazilian Society of Automatics (SBA), The Society of Instrument and Control Engineers (SICE), John von Neumann Computer Society (NJSZT), Vietnamese Fuzzy Systems Society (VFSS), Fuzzy Systems and Intelligent Technologies Research Society of Thailand (FIRST), Korean Institute of Intelligent Systems (KIIS), Taiwanese Association for Artificial Intelligence (TAAI)

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2017-06-21T10:26:02+0000

Vol.16 (2012)

No.7

(Nov)

Special Issue on Advanced Intelligent Systems

Regular Papers

: pp. 771-783
Rebo: A Pet-Like Strokable Remote Control
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Kazuki Kobayashi, Seiji Yamada, Shinobu Nakagawa,
and Yasunori Saito
: pp. 784-792
Entropy-Regularized Fuzzy Clustering for Non-Euclidean Relational Data and Indefinite Kernel Data
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Yuchi Kanzawa
: pp. 793-799
Multi-Scale Bag-of-Features for Scalable Map Retrieval
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Kanji Tanaka and Kensuke Kondo
: pp. 800-806
A Dynamic Risk Allocation of Value-at-Risks with Portfolios
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Yuji Yoshida
: pp. 807-813
Agglomerative Hierarchical Clustering Without Reversals on Dendrograms Using Asymmetric Similarity Measures
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Satoshi Takumi and Sadaaki Miyamoto
: pp. 814-818
Sequential Regression Models with Pairwise Constraints Using Noise Clusters
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Hengjin Tang and Sadaaki Miyamoto
: pp. 819-824
Comparison of Semi-Supervised Hierarchical Clustering Using Clusterwise Tolerance
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Yukihiro Hamasuna and Yasunori Endo
: pp. 825-830
Hard and Fuzzy c-Means Clustering with Conditionally Positive Definite Kernel
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Yuchi Kanzawa, Yasunori Endo, and Sadaaki Miyamoto
: pp. 831-840
Hard c-Means Using Quadratic Penalty-Vector Regularization for Uncertain Data
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Yasunori Endo, Arisa Taniguchi, and Yukihiro Hamasuna
: pp. 841-850
A Mutual-Information-Based Global Matching Method for Chest-Radiography Temporal Subtraction
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Qian Yu, Lifeng He, Tsuyoshi Nakamura,
Yuyan Chao, and Kenji Suzuki
: pp. 851-863
An Explicit Memory Scheme of Genetic Network Programming
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Shingo Mabu, Fengming Ye, and Kotaro Hirasawa

Special Issue on Advanced Intelligent Systems

: p. 865
Advanced Intelligent Systems
Myung-Geun Chun and Toshihiko Watanabe

The 12th International Symposium on Advanced Intelligent Systems (ISIS 2011) held at La Vie DfOr Resort, Suwon, Korea, on September 28 to October 1, 2011, featured presentations by researchers, engineers and practitioners on the latest accomplishments, innovations and applications in artificial intelligence, intelligent systems, and information technology. The 152 papers consisted of 110 regular papers, 39 organized session papers and 3 invited papers were contributed to the conference. The Program Committee requested ISIS 2011 reviewers to select papers for a special issue of the Journal of Advanced Computational Intelligence & Intelligent Informatics (JACIII), of which about 10 were accepted for publication in a twopart ISIS 2011 special issue, Vol.16, No.7, containing 5 papers. Part II will feature about 5 papers.

A brief review of Part I covers 5 papers:

First paper proposes a quantitative model for assessing the collision risk in maritime waterway traffic. The method proposes recent maritime traffic characteristics in time-variant CPA waterway environments and models a dynamic causation factor as a risk indicator. Second paper proposes multiagent query refinement realizing personalized query refinement by three strategies ? knowledge-based query expansion, user-device-based query and weighted query expansion strategy. These approaches determine the domain that the initial query belongs to and expand the query by comprehensively considering user interests. Third paper presents variable-step-size incremental conductance direct maximum power point tracking using fuzzy membership for a standalone photovoltaic system under rapidly changing irradiation. Fourth paper applies a natural actor-critic (NAC) and natural evolution strategies (NES) from natural-gradient-based machine learning to path-tracking control problems for autonomous vehicles. Fifth paper presents features for authenticating painting style, specifically that of Piet Mondrain. It demonstrates meaningful features using two supervised learning algorithms ? decision tree induction algorithm C4.5 and the feature generating machine (FGM) ? selecting important features in the course of learning.

We thank the reviewers for their time and effort in making this special issue available so quickly. We are also grateful to the JACIII editorial office for invaluable assistance and advice in putting the issue together.

: pp. 866-873
Risk Assessment Model of Maritime Traffic in Time-Variant CPA Environments in Waterway
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Jung Sik Jeong, Gyei-Kark Park, and Kwang Il Kim
: pp. 874-880
A Multi-Agent Personalized Query Refinement Approach for Academic Paper Retrieval in Big Data Environment
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Qian Gao and Young Im Cho
: pp. 881-887
A Variable Step Size Incremental Conductance Direct MPPT Method for Stand-Alone PV Systems
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Jae-Hoon Cho, Jin-Il Park, Won-Pyo Hong,
and Myung-Geun Chun
: pp. 888-893
Autonomous Vehicle Path Tracking Based on Natural Gradient Methods
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Ki-Young Kwon, Keun-Woo Jung, Dong-Su Yang,
and Jooyoung Park
: pp. 894-899
Supervised Learning-Based Feature Selection for Mondrian Paintings Style Authentication
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Keon Myung Lee, Kyoung Soon Hwang, Kyung Mi Lee,
Seung Kee Han, Woo Hyun Jung, and Seungbok Lee

No.6

(Sep)

Regular papers

Regular Papers

: pp. 677-686
Optimal Parameter Setting of Active-Contours Using Differential Evolution and Expert-Segmented Sample Image
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Arman Darvish and Shahryar Rahnamayan
: pp. 687-695
A Combined Method Based on SVM and Online Learning with HOG for Hand Shape Recognition
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Kazutaka Shimada, Ryosuke Muto, and Tsutomu Endo
: pp. 696-703
A Person Identification Method Using a Top-View Head Image from an Overhead Camera
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Ryota Nakatani, Daichi Kouno, Kazutaka Shimada, and Tsutomu Endo
: pp. 704-712
Proposal of Method “Motion Space” to Express Movement of Robot
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Kentarou Kurashige, Naoki Kitayama, and Masafumi Kiyohashi
: pp. 713-722
An Evaluation Strategy for Visual Key Image Retrieval on Mobile Devices
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Kazushi Okamoto, Kazuhiko Kawamoto, Fangyan Dong,
Shinichi Yoshida, and Kaoru Hirota
: pp. 723-732
Human-Machine Cooperation in an iSpace Robot Room
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Balázs Tusor, Annamária R. Várkonyi-Kóczy,
Gábor Klie, and Gábor Kocsis
: pp. 733-740
An Adaptation System in Unknown Environments Using a Mixture Probability Model and Clustering Distributions
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Uthai Phommasak, Daisuke Kitakoshi, and Hiroyuki Shioya
: pp. 741-747
Localization with a Mobile Anchor Using ABC-GA Hybrid Algorithm in Wireless Sensor Networks
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Rongbin Qi, Sijin Li, Tianyi Ma, and Feng Qian
: pp. 748-757
A Time-Delay-Dependent Approach for a Class of T-S Fuzzy Models with Time Delays and Uncertainties
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Hugang Han and Taku Tanaka
: pp. 758-768
Introduction of Fixed Mode States into Online Reinforcement Learning with Penalties and Rewards and its Application to Biped Robot Waist Trajectory Generation
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Seiya Kuroda, Kazuteru Miyazaki, and Hiroaki Kobayashi

No.5

(Jul)

Professor Ebrahim Mamdani Memorial Issue

Regular Papers

: pp. 561-566
Strategic Management and Design Innovation in the Long-Standing Company Kyogashi Master “Suetomi”
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Yusuke Irisawa and Shin’ya Nagasawa
: pp. 567-575
The Cluster-Weighted DEMATEL with ANP Method for Supplier Selection in Food Industry
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Jung-Lu Shen, Yong-Mei Liu, and Yi-Lin Tzeng
: pp. 576-580
Japanese Economic Analysis by Possibilistic Regression Model Building Through Possibility Maximization
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Yoshiyuki Yabuuchi and Junzo Watada
: pp. 581-590
A Cooperative Coevolutionary Stock Trading Model Using Genetic Network Programming-Sarsa
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Yang Yang, Zhaoping He, Shingo Mabu, and Kotaro Hirasawa

Professor Ebrahim Mamdani Memorial Issue

: p. 591
Professor Ebrahim Mamdani Memorial Issue
Yoshinori Arai and Toshihiko Watanabe

On February 22, 2010, Prof. Ebrahim H. Mamdani who devised Mamdani fuzzy inference has passed away. His work in fuzzy inference, which rapidly paved the way to its practical use, helped disseminate Prof. Lotfi Zadehfs fuzzy logic and the development of fuzzy research.

Prof. Mamdanifs two papers on fuzzy inference ? gApplication of fuzzy algorithms for control of simple dynamic planth (Proc. IEE, Vol.121, No. 12, pp. 1585-1588, 1974) and gAn experiment in linguistic synthesis with a fuzzy logic controllerh (Int. J. of Man-Machine Studies, Vol.7, No.1, pp. 1-13, 1975) with S. Assilian ? enabled fuzzy inference technology to develop dramatically both indicatively and indirectly to where it has been applied, including fuzzy control systems.

This special issue honors Prof. Mamdani for his invaluable efforts in these and many other fields. We have asked for submissions by researchers influenced by Prof. Mamdanifs achievements, including his work in fuzzy inference, and have narrowed down to one review and seven full papers. The review by Hirosato Seki and Kai Meng Tay provides an incisive overview on the many aspects of fuzzy inference that Prof. Mamdani brought to light.

Prof. Mamdanifs fuzzy inference has become a deterministic technology that can be chosen naturally and that will continue to be influential and survivable well into the future.

: pp. 592-602
On the Monotonicity of Fuzzy Inference Models
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Hirosato Seki and Kai Meng Tay
: pp. 603-610
Latent Topic Estimation Based on Events in a Document
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Risa Kitajima and Ichiro Kobayashi
: pp. 611-618
Topic Tracking Based on Identifying Proper Number of the Latent Topics in Documents
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Midori Serizawa and Ichiro Kobayashi
: pp. 619-630
Process Estimation of Word-of-Mouth Information Spread Based on Ad Hoc Communications
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Daisuke Katagami, Mizuki Takei, and Katsumi Nitta
: pp. 631-640
Representing Visual Complexity of Images Using a 3D Feature Space Based on Structure, Noise, and Diversity
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Phuc Q. Le, Abdullah M. Iliyasu, Jesus A. Garcia Sanchez,
Fangyan Dong, and Kaoru Hirota
: pp. 641-652
Drawing Algorithm for Fuzzy Graphs Using the Partition Tree
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Yasunori Shiono, Tadaaki Kirishima, Yoshinori Ueda,
and Kensei Tsuchida
: pp. 653-661
Modeling Approach Based on Modular Fuzzy Model
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Toshihiko Watanabe and Hirosato Seki
: pp. 662-667
Development of a System Incorporating a Multifunctional Actuator Using an Intelligent Multifunction Control Method
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Kazuki Kuribayashi and Seiji Yasunobu

No.4

(Jun)

Special Issue on Modeling and Simulation

Special Issue on Modeling and Simulation

: pp. 487-488
Modeling and Simulation
Marzuki Khalid, Rubiyah Yusof, Shamsuddin Amin, and Junzo Watada

Modeling and simulation play pivotal roles in engineering design. Tools for modeling and simulation have led to both faster design, higher viability and lower design cost. This special issue presents 10 papers on modeling and simulation in a variety of applications.

The first paper, by Sayed Mohammad Reza Loghmanian et al., is entitled gNonlinear Dynamic System Identification Using Volterra Series: Multi-Objective Optimization Approach.h This paper deals with system identification of the nonlinear dynamic system based on an optimized Volterra model structure. The developed model fulfilled two criteria, or objectives, namely, good predictive accuracy and optimum model structure. Genetic algorithms are applied to search for significant Volterra kernels among all possible candidate model combinations.

The second paper, by Masao Ogino et al., is entitled gA Large-Scale Magnetostatic Analysis Using an Iterative Domain Decomposition Method Based on the Minimal Residual Method.h Large-scale 3D nonlinear magnetostatic analysis using the domain decomposition method (DDM) improves convergence based on the conjugate residual (CR) method. Compared to the conjugate gradient method, the CR method and minimal residual method both improve the convergence rate and show stable convergence behavior in solving an interface problem. Computation time is largely reduced for this large-scale problem, which has about 10 million degrees of freedom.

The third paper, by Yoshiyuki Yamashita, is on gSemi-Qualitative Trend Analysis for the Monitoring of Process Control Loops,h and deals with a qualitative approach, rather than an analytical approach, in monitoring process plants. Using this method enabled us to diagnose a control valve problem in a process control loop. Several applications are also discussed.

The fourth paper, by Hiroshi Dan and Hiroshi Kanayama, is entitled gFinite Element Analysis of Tsunami by Viscous Shallow-Water Equations.h With the number of tsunamis and earthquakes occurring worldwide today, such simulation is important in many fields. Viscous shallow-water equations are derived from three-dimensional Navier-Stokes equations under hydrostatic assumptions. This approach is used to simulate a tsunami in Hakata Bay.

The fifth paper, by Junzo Watada et al., is entitled gAn Affective Approach to Developing Marketing Strategies of Mineral Water.h This research concerns the development of a marketing strategy for mineral water based on taste features obtained by chemically and physically analyzing the taste components of mineral water. Two-dimensional analysis of self-organizing map (SOM) was used to classify the evaluation of taste data. Data characteristics are recognized in the taste of mineral water by correlation analysis. A combination of principal component analysis and SOM classifies the taste of mineral water. Marketing strategies are also concluded after evaluation.

The sixth paper, by Yoshitsugu Aoki et al., is entitled gNew Approach for Antisense Oligonucleotide-Mediated Exon Skipping in Duchenne Muscular Dystrophy.h It reviews highlights of the challenges in antisense oligonucleotide-based therapeutics for treating and Intelligent Informatics DMD, focusing on exon 51-skipping.

The seventh paper, entitled gBuilding a Type-2 Fuzzy Qualitative Regression Model,h is by Yicheng Wei and Junzo Watada. From a theoretical fuzzy-set point of view, uncertainty exists in the membership function value of a type-1 fuzzy set, greatly impacting on the fuzziness of the external criterion of the qualitative objective. This paper models qualitative change in the external criterionfs fuzziness by applying the type-2 fuzzy set. Here, qualitative values are assumed to be fuzzy degrees of membership in qualitative categories, and qualitative change in the objective external criterion is given as the fuzziness of output.

The eighth paper, entitled gPSO-Particle Filter-Based Biometric Measurement for Human Tracking,h is by Zhenyuan Xu and Junzo Watada. It discusses an interesting application based on particle swarm optimization (PSO). Its objective is to build a mathematical model and a method for human tracking that can be used for biometric surveillance. This human tracking marks the size of human beings and objects in a picture to that if the picture is placed in a framework of axes, height and other biometric lengths can be calculated.

The ninth paper, by Josu? Roberto Lozano et al. is on g360 Degree Selective Laser Trabeculoplasty in Mexican Population.h This research uses statistical analysis of Repeated Measures One-Sample T Test, Paired-Samples T Test + Pearson Correlation Coefficient Test, and the Wilcoxon Signed-Rank Test in order to evaluate the efficiency of Selective Laser Trabeculoplasty procedure (SLT procedure). The authors showed in the paper that the treatment with SLT applied to Mexican patients with OAG reduces IOP and the patientfs need for topical medical therapy, which can lead to a better control of the disease and compliance to treatment.

The tenth paper, by Shinichiro Terasaki and Shinfya Nagasawa, is on gThe Relationship Between Brand Integrity and Business Continuity ? A Case Study of Japanese Long-Standing Company, Shioyoshiken ?.h The Shioyoshiken brand of Japanese sweets is well appreciated by individual customers who emphasise the value of customized sweets, particularly for Japanese tea parties and weddings. This case study explores Shioyoshiken gRashisa,h or gidentity,h to identify the secret of its long-standing brand strength.

: pp. 489-495
Nonlinear Dynamic System Identification Using Volterra Series: Multi-Objective Optimization Approach
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Sayed Mohammad Reza Loghmanian, Rubiyah Yusof,
and Marzuki Khalid
: pp. 496-502
A Large-Scale Magnetostatic Analysis Using an Iterative Domain Decomposition Method Based on the Minimal Residual Method
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Masao Ogino, Shin-ichiro Sugimoto, Seigo Terada,
Yanqing Bao, and Hiroshi Kanayama
: pp. 503-507
Semi-Qualitative Trend Analysis for the Monitoring of Process Control Loops
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Yoshiyuki Yamashita
: pp. 508-513
Finite Element Analysis of Tsunami by Viscous Shallow-Water Equations
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Hiroshi Dan and Hiroshi Kanayama
: pp. 514-520
An Affective Approach to Developing Marketing Strategies of Mineral Water
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Junzo Watada, Le Yu, Munenori Shibata, and Marzuki Khalid
: pp. 521-526
New Approach for Antisense Oligonucleotide-Mediated Exon Skipping in Duchenne Muscular Dystrophy
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Yoshitsugu Aoki, Tetsuya Nagata, and Shin’ichi Takeda
: pp. 527-532
Building a Type-2 Fuzzy Qualitative Regression Model
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Yicheng Wei and Junzo Watada
: pp. 533-539
PSO-Particle Filter-Based Biometric Measurement for Human Tracking
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Zhenyuan Xu and Junzo Watada
: pp. 540-546
360 Degree Selective Laser Trabeculoplasty in Mexican Population
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Josué Roberto-Lozano, Mariya V. Kalashnikova,
Gustavo Velasco-Gallegos, and Junzo Watada
: pp. 547-552
The Relationship Between Brand Integrity and Business Continuity – A Case Study of Japanese Long-Standing Company, Shioyoshiken –
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Shinichiro Terasaki and Shin’ya Nagasawa

No.3

(May)

Regular papers

Regular Papers

: pp. 375-380
A Neural Network Model of Students’ English Abilities Based on Their Affective Factors in Learning
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Fitra A. Bachtiar, Katsuari Kamei, and Eric W. Cooper
: pp. 381-387
Fuzzy Hidden Markov Models for Indonesian Speech Classification
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Intan Nurma Yulita Houw Liong The, and Adiwijaya
: pp. 388-396
Multiscale Image Aggregation for Dental Radiograph Segmentation
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Martin Leonard Tangel, Chastine Fatichah,
Muhammad Rahmat Widyanto, Fangyan Dong,
and Kaoru Hirota
: pp. 397-403
Substitute Target Learning Based Control System for Control Knowledge Acquisition Within Constrained Environment
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Syafiq Fauzi Kamarulzaman, Takeshi Shibuya, and Seiji Yasunobu
: pp. 404-411
Investigation About Applicability of Personal Values for Recommender System
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Shunichi Hattori and Yasufumi Takama
: pp. 412-419
Parameter Optimization of Local Fuzzy Patterns Based on Fuzzy Contrast Measure for White Blood Cell Texture Feature Extraction
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Chastine Fatichah, Martin Leonard Tangel,
Muhammad Rahmat Widyanto, Fangyan Dong,
and Kaoru Hirota
: pp. 420-424
On Network Structure of Stable Strategies in Local Connection Games
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Hikaru Iwazaki, Takenori Ujigawa, and Shao-Chin Sung
: pp. 425-429
The Analysis of Consumer Purchasing Behavior on Cosmetics
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Ya-Ling Wu and You-Shyang Chen
: pp. 430-435
Coalition Formation Based Staffing Strategy Development
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Mayuko Miyata and Shao-Chin Sung
: pp. 436-443
The Effective Technology- and Resource-Management Strategy of Established Japanese Company: A Case Study of Toraya, a Traditional Japanese Confectioner
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Kana Sugimoto, Takao Someya, and Shin’ya Nagasawa
: pp. 444-452
A Study on Fuzzy Control of Humanoid Soccer Robot EFuRIO for Vision Control System and Walking Movement
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Indra Adji Sulistijono, Son Kuswadi, One Setiaji,
Inzar Salfikar, and Naoyuki Kubota
: pp. 453-461
Tournament Evaluation System Applying Win-Lose Result Presumption Considering Kansei Evaluation by Multiple People
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Hiroshi Takenouchi, Masataka Tokumaru,
and Noriaki Muranaka
: pp. 462-468
Division of Iterative-Transportation Based on Local Observation by Multiple Mobile Robots
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Yuichi Kobayashi, Yuta Sato, and Manabu Gouko
: pp. 469-480
OGDE3: Opposition-Based Third Generalized Differential Evolution
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Farid Bourennani, Shahryar Rahnamayan, and Greg F. Naterer

No.2

(Mar)

Special Issue on Innovation over Multimedia Processing
Special Issue on Cognitive Infocommunications

Regular Papers

: pp. 183-190
Proposal of the Continuous-Valued Penalty Avoiding Rational Policy Making Algorithm
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Kazuteru Miyazaki
: pp. 191-198
Fuzzy Three-Dimensional Voronoi Diagram and its Application to Geographical Data Analysis
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Mian Dai, Fangyan Dong, and Kaoru Hirota
: pp. 199-209
An Efficient Solution of Real-Time Fuzzy Regression Analysis to Information Granules Problem
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Azizul Azhar Ramli, Junzo Watada,
and Witold Pedrycz

Special Issue on Innovation over Multimedia Processing

: p. 211
Innovation over Multimedia Processing
Hajime Nobuhara

With broadband networks, audio/video coding, and processing techniques and user devices swiftly advancing, multimedia streaming over networks is now a reality. Distributed interactive multimedia applications ? one of the fastest growing market sectors demanding innovations ? are covered in this special issue on multimedia processing (MP).

This special issue focuses on ambitious and intriguing papers from experts on a wide variety of multimedia areas. These articles address innovations and offer effective solutions to MP problems.

Y. Fushio et al. propose a shadow generation system based on shape recognition, while M. Suzuki et al. develop musical expression generation reflecting the userfs impression in kansei space and fuzzy rules. K. Ishizuka et al. evaluate an operetta songs generation system based on the impressions given by story scenes, which are strongly related to the integrative research projects of kansei engineering, music, text, and visual perception.

T. Toyota et al. develop a web news visualization system based on an efficient self-organizing map using a restricted region search and dimensionality reduction. S. Kawauchi et al. propose a knowledge expansion support system using related search keyword generation based on Wikipedia categories and point-wise mutual information, involving that are aggressive looking progressive research projects covering huge text information. T. Tanabata et al. present an interactive data mining tool for microarray data analysis using formal concept analysis, which adds a new dimension to the bio-informatics field.

T. Kawamura et al. analyze keywords input to a book search engine. T. Sugimoto et al. propose a recommendation system involving the use of comprehensive trend indications based on weighted complete graphs, which are related to topical discussions in the information retrieval and recommendation field.

Readers are sure to find new and valuable information and ideas in their own fields in these excellent articles.

: pp. 212-218
Dynamic Shadow Generation System Based on Shape Recognition
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Yuki Fushio and Mitsunori Matsushita
: pp. 219-226
Visualization of the Internet News Based on Efficient Self-Organizing Map Using Restricted Region Search and Dimensionality Reduction
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Tetsuya Toyota and Hajime Nobuhara
: pp. 227-238
Musical Expression Generation Reflecting User’s Impression by Kansei Space and Fuzzy Rules
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Mio Suzuki and Takehisa Onisawa
: pp. 239-246
Comparison of Keywords Freely Inputted by Users and the Compendium of “Keywords for Children,” Which is Programmed into the Book Searching System for Children
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Takayuki Kawaura, Jun Endo, and YasukoDoi
: pp. 247-255
Knowledge Expansion Support by Related Search Keyword Generation Based onWikipedia Category and Pointwise Mutual Information
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Saori Kawauchi, Tetsuya Toyota,
and Hajime Nobuhara
: pp. 256-265
Evaluation of Operetta Songs Generation System Based on Impressions of Story Scenes
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Kenkichi Ishizuka and Takehisa Onisawa
: pp. 266-272
A Recommendation System with the Use of Comprehensive Trend Indication Based on Weighted Complete Graph
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Takuya Sugimoto, Tetsuya Toyota,
and Hajime Nobuhara
: pp. 273-281
Interactive Data Mining Tool for Microarray Data Analysis Using Formal Concept Analysis
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Takanari Tanabata, Fumiaki Hirose,
Hidenobu Hashikami, and Hajime Nobuhara

Special Issue on Cognitive Infocommunications

: p. 283
Cognitive Infocommunications
Péter Baranyi, Hideki Hashimoto, and Gyula Sallai

Cognitive infocommunications (CogInfoCom), is an emerging interdisciplinary research field that has recently started to appear in the context of theoretical, R&D, and industryoriented projects. CogInfoCom deals with novel approaches to extend the cognitive capabilities of human users through the artificial cognitive capabilities of infocommunications devices, enabling them to interact more flexibly with IT infrastructure.

Two key points must be considered when asking why the emergence of CogInfoCom is not only timely but also necessary.

First of all, the infocommunications industry is experiencing trends that are resulting in the gradual appearance of artificial cognitive capabilities ? capabilities directed towards a broadened scope covering the sensing and processing of unstructured data.

Secondly, future users of infocommunications devices will expect both to be able to access these artificial cognitive capabilities in their everyday activities and to be able to merge them with their own cognitive capabilities. They will thus be able to apply them flexibly ? through their infocommunications devices ? in a wide range of applications in both physical and virtual contexts.

This Special Issue on Cognitive Infocommunications contains extended versions of key ideas presented at CogInfoCom conferences. The table of contents alone will demonstrate to the reader the broad scope of theoretical considerations and practical applications that underlie current and emerging CogInfoCom research.

It is our hope that this Special Issue ? along with the CogInfoCom conference series ? will contribute to providing a scientific forum for researchers from areas related to CogInfoCom and beyond, so that they may be able to develop stronger cooperation and create a more common language in order to produce useful synergies, and in order to fully meet the interdisciplinary challenges that underlie CogInfoCom.

: pp. 284-296
Augmented Reality Aspects of Object Recognition in Driver Support Systems
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Zsombor Paróczi, István Nagy,
Csaba Gáspár-Papanek, Zsolt T. Kardkovács,
Endre Varga, Ádám Siegler, and Péter Lucz
: pp. 297-304
CogInfoCom Systems from an Interaction Perspective – A Pilot Application for EtoCom –
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Gyorgy Persa, Adam Csapo, and Péter Baranyi
: pp. 305-312
Design of Mutual Interaction Between a User and Smart Electric Wheelchair
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Mihoko Niitsuma, Terumichi Ochi, Masahiro Yamaguchi,
and Koki Iwamot
: pp. 313-326
Impacts of Multimodal Feedback on Efficiency of Proactive Information Retrieval from Task-Related HRI
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Barbara Gonsior, Christian Landsiedel,
Nicole Mirnig, Stefan Sosnowski, Ewald Strasser,
Jakub Złotowski, Martin Buss, KoljaKühnlenz,
Manfred Tscheligi, Astrid Weiss, and Dirk Wollherr
: pp. 327-334
Optimizing HMM Speech Synthesis for Low-Resource Devices
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Bálint Tóth and Géza Németh
: pp. 335-340
Recognition of Emotions on the Basis of Different Levels of Speech Segments
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Klára Vicsi and Dávid Sztahó
: pp. 341-348
Robust Facial Expression Recognition Using Near Infrared Cameras
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Laszlo A. Jeni, Hideki Hashimoto,
and Takashi Kubota
: pp. 349-357
Spatial Memory for Augmented Personal Working Environments
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Young Eun Song, Peter Kovacs, Mihoko Niitsuma,
and Hideki Hashimoto
: pp. 358-367
The Spiral Discovery Method: An Interpretable Tuning Model for CogInfoCom Channels
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Adam Csapo and Péter Baranyi

No.1

(Jan)

Special Issue on Information Medical Science
Special Issue on New Approach to Intelligent Machines
Special Issue on Aggregation Operators and Clustering

Regular Papers

: pp. 4-12
Information Enhancement on a Focused Object Using Linked Data
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Kanako Onishi and Ichiro Kobayashi
: pp. 13-23
Similarity Retrieval of Motion Capture Data Based on Derivative Features
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Worawat Choensawat, Woong Choi,
and Kozaburo Hachimura

Special Issue on Information Medical Science

: p. 25
Information Medical Science
Yutaka Hatakeyama

One important and interesting application in computational intelligence technology is medical application. Medical engineering research covers such areas as medical image processing. With most health information now described electronically, hospitals are accumulating large amounts of medical data, including imaging, text, and structured materials. This has made ginformation medical scienceh vastly more important in improving healthcare technology.

This special issue introduces an application based on hospital data, medical care support systems, and medical image processing. The application deals with analytical approaches, navigation systems, medical data management, and text mining for summary data. The support system shows diagnosis and robotassisted therapy. Medical imaging targets X-ray, blood cell, and ultrasonography images.

As guest editors, we can assure the readers that the papers in this special issue have great social impact in this research area and encourage good relations with engineering and medical practice approaches.

We thank the contributors and reviewers for introduce these latest achievements in this exciting field.

: pp. 26-32
Visual Analysis of Health Checkup Data Using Multidimensional Scaling
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Keiko Yamamoto, Satoshi Tamura, Satoru Hayamizu,
and Yasutomi Kinosada
: pp. 33-37
Hospital Navi – A New Database for Searching Medical Information –
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Hiroshi Gohma, Mika Asano, Nobuyuki Hamajima,
Gen Sobue, and Shin-ichi Sugiura
: pp. 38-41
System Replacement to a New HIS and Data Warehouse
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Masayuki Honda and Takehiro Matsumoto
: pp. 42-47
Ruby Implementation of the OpenEHR Specifications
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Shinji Kobayashi and Akimichi Tatsukawa
: pp. 48-54
Auto-Selection of DPC Codes from Discharge Summaries by Text Mining in Several Hospitals and Analysis of Differences in Discharge Summaries
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Shunsuke Doi, Takahiro Suzuki, Gen Shimada,
Mitsuhiro Takasaki, Shinsuke Fujita,
Toshiyo Tamura, and Katsuhiko Takabayashi
: pp. 55-61
New Method to Assist Discrimination of Liver Diseases by Spherical SOM with Mahalanobis Distance
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Norie Kanzaki and Akihiro Kanagawa
: pp. 62-68
A Study on Conversational Content Recognition Method Using JapaneseWordNet for Robot-Assisted Therapies
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Yuta Izutsu, Hiroharu Kawanaka, Koji Yamamoto, Kiyoshi Suzuki, Haruhiko Takase,
and Shinji Tsuruoka
: pp. 69-75
Discrimination of Pneumoconiosis X-Ray Images Scanned with a CCD Scanner
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Masahide Minami, KojiAbe,
and Munehiro Nakamura
: pp. 76-86
Interest-Based Ordering for Fuzzy Morphology on White Blood Cell Image Segmentation
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Chastine Fatichah, Martin Leonard Tangel,
Muhammad Rahmat Widyanto, Fangyan Dong,
and Kaoru Hirota
: pp. 87-93
Algorithm for Estimation of Thyroid Gland Size in Ultrasonography Images for Extracting Abnormal Thyroid in Medical Practice
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Yutaka Hatakeyama, Hiromi Kataoka, Noriaki Nakajima,
Teruaki Watabe, and Yoshiyasu Okuhara

Special Issue on New Approach to Intelligent Machines

: p. 95
New Approach to Intelligent Machines
Hiroshi Takahashi

Six papers on Human Machine Interfaces have been published from a new point of view. As one of the important technologies for developing optimal human machine interaction, communication between humans and machines has attracted much interest. In this special issue, the editor focuses on new methods for communicating mutual information on the characteristics of both human operators and machines, including computers and vehicles. In this communication, readers can operate machines easily and comfortably.

The first article, by Hiroshi Takahashi and Hirohiko Honda, studies the possibility of applying subliminal visual marks for informing drivers of hazardous factors without causing a nuisance in the driver-assistance systems.

The second paper, by Hiroshi Igarashi, proposes subliminal control parameter calibration in interactive human-machine operational environments. Subliminal calibration will enable users to master handling in a short time.

The third paper, by Hiroshi Takahashi and Hirohiko Honda, focuses on computer game operation as influenced by ultrasound exposure. The relationship between ultrasound signals and operator behavior is discussed.

The fourth paper, written by Hirohiko Honda and Kazuko Tobita, concerns the improvement of personal computer operation using auditory signals for visually handicapped persons, who can then identify operational processes through simple sounds.

The fifth contribution, by Hirohiko Honda, involves improving mouse operation with personal computers for those physically challenged who suffer progressive deterioration. The proposed system helps such users maintain quality of life because they are able to continue using a personal computer even as their state of mobility deteriorates.

The closing contribution, by Hiroshi Igarashi, Yoshinobu Adachi, and Kazunari Takahashi, deals with multiagent systems based on human social behavior. Adaptability and the total performance of the authorfs proposed technique are confirmed through a pursuit problem in a multiagent system.

We thank the referees for their reviews and the Fuji Technology Press Ltd. staff for its encouragement and advice.

: pp. 96-107
A Study on the Possibility of Applying Subliminal Visual Cue for Guiding Subject’s Attention
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Hiroshi Takahashi and Hirohiko Honda
: pp. 108-116
Subliminal Calibration for Machine Operation
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Hiroshi Igarashi
: pp. 117-123
A Study on the Change of Operation of Driving Video Game Under Ultrasound Exposure
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Hiroshi Takahashi and Hirohiko Honda
: pp. 124-130
Efficiency Improvement of Information Acquisition in PC Operation with Auditory Signal
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Hirohiko Honda and Kazuko Tobita
: pp. 131-138
Mouse Operation Support for the Physically-Challenged Persons who have Progressive Intractable Diseases
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Hirohiko Honda
: pp. 139-146
Adaptive Cooperation for Multi Agent Systems Based on Human Social Behavior
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Hiroshi Igarashi, Yoshinobu Adachi,
and Kazunari Takahashi

Special Issue on Aggregation Operators and Clustering

: p. 147
Aggregation Operators and Clustering
Vicenç Torra, Yasuo Narukawa, and Mark Daumas

This issue features decision making and other tools used in artificial intelligence applications. More specifically, the issue includes five papers focused on aggregation operators and clustering.

The series starts with a paper by Yoshida on weighted quasiarithmetic means that focuses on their monotonicity viewed from utility and weighting functions.

In the second paper, Nohmi, Honda and Okazaki focus on trust evaluation for networks, studying matrix operations based on t-norms and t-conorms. The authors also propose fuzzy graphs using adjacent matrices.

These works are followed by three on fuzzy clustering.

Kanzawa, Endo and Miyamoto present a variation of fuzzy c-means based on kernel functions in an approach developed for data with tolerance.

Endo covers clustering using kernel functions. The paper is based on a fuzzy nonmetric model including pairwise constraints in the clustering process.

The concluding paper also uses pairwise constraints, but within agglomerative hierarchical clustering. Hamasuna, Endo and Miyamoto include clusterwise tolerance in their mode.

As the editors of this issue, we would like to thank the referees for their work in the reviews and journal editors-in-chief Profs. Toshio Fukuda and Kaoru Hirota and the journal staff for their support.

: pp. 148-153
Weighted Quasi-Arithmetic Means and the Domain Translations
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Yuji Yoshida
: pp. 154-161
A Trust Evaluation of Networks Utilizing Matrix Operations Based on t-norms and t-conorms
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Masaya Nohmi, Aoi Honda, and Yoshiaki Okazaki
: pp. 162-168
On Kernel Fuzzy c-Means for Data with Tolerance Using Explicit Mapping for Kernel Data Analysis
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Yuchi Kanzawa, Yasunori Endo,
and Sadaaki Miyamoto
: pp. 169-173
On Entropy Based Fuzzy Non Metric Model – Proposal, Kernelization and Pairwise Constraints –
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Yasunori Endo
: pp. 174-179
On Agglomerative Hierarchical Clustering Using Clusterwise Tolerance Based Pairwise Constraints
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Yukihiro Hamasuna, Yasunori Endo,
and Sadaaki Miyamoto

Vol.15 (2011)

No.9

(Nov)

Special Issue on Awareness Computing in Science and Engineering
Selected Papers from NaBIC 2010

Regular Papers

: pp. 1199-1202
WIN Algorithm for Discrete Online TSP
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Yonghua Wu, Guohun Zhu, Huaying Chen,
and Jucun Qin
: pp. 1203-1210
Enhancing a Fuzzy Failure Mode and Effect Analysis Methodology with an Analogical Reasoning Technique
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Tze Ling Jee, Kai Meng Tay, and Chee Khoon Ng
: pp. 1211-1220
Spatiotemporal Analysis of Brain Activity During Understanding Honorific Expressions
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Michio Sugeno and Takahiro Yamanoi
: pp. 1221-1227
Evaluating Functional Connectivity in Alcoholics Based on Maximal Weight Matching
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Guohun Zhu, Yan Li, and Peng (Paul) Wen

Special Issue on Awareness Computing in Science and Engineering

: p. 1229
Awareness Computing in Science and Engineering
Cheng-Hsiung Hsieh and Hsien-Chou Liao

As awareness computing attracts increasing attention, this special issue has been arranged for researchers, engineers, and scientists to discuss on awareness computing and to exchange ideas, opinions, and the latest results in this emerging new field.

Awareness is the ability to be conscious of, feel, or perceive ? in other words, to have awareness. It implies vigilance in observing and alertness in drawing inferences from experience. The ultimate goal of awareness computing is to create computing systems that are aware.

The eight papers accepted for this issue come mainly from International Symposium on Aware Computing 2010 and cover different aspects of awareness computing in science and engineering. The authors have been kind enough to revise their papers for this publication.

Two papers focus on awareness learning and multimedia-based learning, three examine localization using sensor networks, sound sources, and radiofrequency identification, and three explore a fuzzy-rules mining algorithm, an interactive map search system, and semi-supervised method for pattern recognition.

We thank the reviewers for their time and effort in reviewing papers within a limited time. We are most grateful to Professor Qiangfu Zhao of the University of Aizu, Japan, and to Professors Toshio Fukuda and Kaoru Hirota, Editors-in-Chief, for inviting us to guest-edit this special issue. We also thank the Fuji Technology Press staff for its ongoing assistance.

: pp. 1230-1240
Document Analysis System Based on Awareness Learning
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Jie Ji, Rung-Ching Chen, and Qiangfu Zhao
: pp. 1241-1247
Process of Acquiring Musical Performance Skills for Enhanced “Awareness” Given by a Multimedia-Based Learning Approach
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Katsuko T. Nakahira, Miki Akahane, and Yukiko Fukami
: pp. 1248-1255
An Improvement of Fuzzy Association Rules Mining Algorithm Based on Redundancy of Rules
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Toshihiko Watanabe
: pp. 1256-1261
An Interactive Map Search System Using Wavelet and Shape Contexts
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Jungpil Shin and Hsien-Chou Liao
: pp. 1262-1268
Error-Correcting Semi-Supervised Pattern Recognition with Mode Filter on Graphs
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Weiwei Du and Kiichi Urahama
: pp. 1269-1276
Mutual Localization of Multiple Sensor Node Robots
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Keitaro Naruse, Shigekazu Fukui, and Jie Luo
: pp. 1277-1286
Spatial Localization of Concurrent Multiple Sound Sources Using Phase Candidate Histogram
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Huakang Li, Jie Huang, Minyi Guo, and Qunfei Zhao
: pp. 1287-1298
Using Radio Frequency Identification for Indoor Location Identification Based on Power Level, Signal Strength and Fuzzy Method
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Rung-Ching Chen, Yu-Cheng Lin, Sheng-Ling Huang,
and Qiangfu Zhao

Selected Papers from NaBIC 2010

: p. 1299
Selected Papers from NaBIC 2010
Yusuke Nojima and Mario K?ppen

The Second World Congress on Nature and Biologically Inspired Computing (NaBIC2010) was held at the Kitakyushu International Conference Center December 15-17, 2010, in Kitakyushu, Japan. NaBIC2010 provided a forum for researchers, engineers, and students from worldwide to discuss state-of-the-art machine intelligence and to address issues related to building human-friendly machines by learning from nature.

NaBIC2010 covered a wide range of studies ? from theoretical and algorithmic studies on nature and biologically inspired computing techniques to their real-world applications.

Top researchers presenting papers at NaBIC2010 were invited to contribute to this special issue. Through a fair peer review process, four extended papers have been accepted ? an acceptance rate of 50%.

The first paper entitled gA Study on Computational Efficiency and Plasticity in Baldwinian Learningh by Liu and Iba analyzes Baldwinian evolution efficiency by comparing it to alternatives such as standard Darwinian evolution with no learning, Lamarckian evolution, and Baldwinian evolution with different learning and plasticity evolution.

The second paper entitled gExperimental Study of a Structured Differential Evolution with Mixed Strategiesh by Ishimizu and Tagawa proposes island-based DE with ring or torus networks. The authors examine the performance of the proposed DE with the effects of different strategies.

The third paper entitled gMulti-Space Competitive DGA for Model Selection and its Application to Localization of Multiple Signal Sourcesh by Ishikawa, Misawa, Kubota, Tokiwa, Horio, and Yamakawa proposes a distributed genetic algorithm in which each subpopulation searches for a solution in different decision space. Subpopulations change size based on search progress.

The fourth paper entitled gAn Extended Interactive Evolutionary Computation Using Heart Rate Variability as Fitness Value for Composing Music Chord Progressh by Fukumoto, Nakashima, Ogawa, and Imai uses heart-rate variability instead of direct human evaluations in an interactive evolutionary computation framework.

As guest editors of this special issue, we would like to thank the authors for their unique and interesting contributions and the reviewers for their careful checking and invaluable comments.

: pp. 1300-1309
A Study on Computational Efficiency and Plasticity in Baldwinian Learning
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Shu Liu and Hitoshi Iba
: pp. 1310-1319
Experimental Study of a Structured Differential Evolution with Mixed Strategies
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Takashi Ishimizu and Kiyoharu Tagawa
: pp. 1320-1328
Multi-Space Competitive DGA for Model Selection and its Application to Localization of Multiple Signal Sources
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Shudai Ishikawa, Hideaki Misawa, Ryosuke Kubota,
Tatsuji Tokiwa, Keiichi Horio,
and Takeshi Yamakawa
: pp. 1329-1336
An Extended Interactive Evolutionary Computation Using Heart Rate Variability as Fitness Value for Composing Music Chord Progression
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Makoto Fukumoto, Shuta Nakashima, Shintaro Ogawa,
and Jun-ichi Imai

No.8

(Oct)

Special Issue on Cross-Disciplinary Approaches to Embodied Knowledge of Human Skill
Selected Papers from SCIS & ISIS – No.2
Selected Papers from i-SAIRAS 2010

Special Issue on Cross-Disciplinary Approaches to Embodied Knowledge of Human Skill

: p. 941
Cross-Disciplinary Approaches to Embodied Knowledge of Human Skill
Isao Hayashi and Shinichi Furuya

Expertise in sports, music, dance, and craftsmanship is increasingly attracting researchers from many different backgrounds who seek to deepen their understanding of outstanding human skills – a field known as skill science. The goal of skill science is to elucidate neural, cognitive, and computational mechanisms and processes underlying superior sensorimotor functions. To this aim, cross-disciplinary approaches needed include artificial intelligence, computational intelligence, soft computing, robotics, biomechanics, cognitive science, and neuroscience.

This special issue includes a variety of paper focusing on new computational approaces and cutting-edge empirical techniques shedding light on embodied knowledge. Analytical techniques include factorial analysis, such as Principal Component Analysis (PCA) and Singular Vector Decomposition (SVD), correlation networks, machine learning such as cluster analysis, Bayesian statistics, and nonlinear dynamical modeling. Experimental paradigms and techniques include Virtual Reality (VR) environment, comparison between skilled and unskilled individuals and between individuals with and without neurological disorders, and biomechanical and physiological measurement using motion capture, ElectroMyoGraphy (EMG), functional Magnetic Resonance Imaging (fMRI), Transcranial Magnetic Stimulation (TMS), and Auditory Brainstem Response (ABR).

These approaches and techniques have successfully addressed key features of sensorimotor mechanisms behind skilled human behavior. Unique approaches in terms of abduction reasoning and observation learning of robots have quantitatively and qualitatively unraveled cognitive processes in novel skill acquisition.

Findings from these studies provide intriguing insights into developing comprehensive models of embodied knowledge and into practical applications Quantitative evaluation and precise modeling of human skills are, for example, indispensable for developing hardware and software that mimic human functions and for designing robots and Brain-Machine Interfaces (BMI) that enables dexterous human-like behavior. It is of academic and clinical importance to determine mechanisms for acquiring complex sensorimotor skills. These diverse approaches toward a unique goal are expected to build bridges among researchers with vastly different backgrounds, serving as an impetus for boosting this cross-disciplinary research area.

We believe this special issue will serve as a landmark for further developing skill science research.

: pp. 942-953
Neurophysiological and Dynamical Control Principles Underlying Variable and Stereotyped Movement Patterns During Motor Skill Acquisition
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Kazutoshi Kudo, Makoto Miyazaki, Hirofumi Sekiguchi,
Hiroshi Kadota, Shinya Fujii, Akito Miura,
Michiko Yoshie, and Hiroki Nakata
: pp. 954-961
Abductive Reasoning as an Integrating Framework in Skill Acquisition
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Koichi Furukawa, Toshiki Masuda, and Ikuo Kobayashi
: pp. 962-971
Accuracy of Synchrony Judgment and its Relation to the Auditory Brainstem Response: the Difference Between Pianists and Non-Pianists
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Eriko Aiba, Koji Kazai, Takayuki Shimotomai,
Toshie Matsui, Minoru Tsuzaki, and Noriko Nagata
: pp. 972-979
Learning Strategy in Time-to-Contact Estimation of Falling Objects
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Hiroyuki Kambara, Keiichi Ohishi, and Yasuharu Koike
: pp. 980-987
Decomposition of Limb Movement Based on Muscular Coordination During Human Running
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Taiki Iimura, Keita Inoue, Hang T. T. Pham,
Hiroaki Hirai, and Fumio Miyazaki
: pp. 988-996
Network Approach to Inducing Coordinative Structures of Skillful Movements
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Masanori Tsujino, Tsutomu Fujinami, and Keisuke Nagai
: pp. 997-1010
A Classification of Postural Sway Patterns During Upright Stance in Healthy Adults and Patients with Parkinson’s Disease
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Tomohisa Yamamoto, Yasuyuki Suzuki, Kunihiko Nomura,
Taishin Nomura, Takao Tanahashi, Kei Fukada,
Takayuki Endo, and Saburo Sakoda
: pp. 1011-1018
Acquisition of Embodied Knowledge on Gesture Motion by Singular Value Decomposition
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Isao Hayashi, Yinlai Jiang, and Shuoyu Wang
: pp. 1019-1029
Extraction of Coordinative Structures of Motions by Segmentation Using Singular Spectrum Transformation
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Hiroaki Nakanishi, Sayaka Kanata, Hirofumi Hattori,
Tetsuo Sawaragi, and Yukio Horiguchi
: pp. 1030-1038
Kicking Motion Imitation of Inverted-Pendulum Mobile Robot and Development of Body Mapping from Human Demonstrator
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Sataya Takahashi, Yasutake Takahashi, Yoichiro Maeda,
and Takayuki Nakamura
: pp. 1039-1048
Analysis of Driver Perceptions and Behavior When Driving in an Unfamiliar Traffic Regulation
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Hidetoshi Nakayasu, Tetsuya Miyoshi, Nobuhiko Kondo,
Hirokazu Aoki, and Patrick Patterson

Selected Papers from SCIS & ISIS – No.2

: p. 1049
Selected Papers from SCIS & ISIS 2010 – No.2
Keigo Watanabe, Kazuhiro Ohkura, and Kiyotaka Izumi

This second special issue from the Joint 5th International Conference on Soft Computing and Intelligent Systems and the 11th International Symposium on Advanced Intelligent Systems (SCIS & ISIS) 2010 presents 11 progressive papers covering topics from Fuzzy c-Means, clustering, evolutionary algorithms, and self-organizing maps to optimization, spiral phenomena, matroids, multirobot systems, and reinforcement learning. This wide range of research interests reflects current trends in the SCIS & ISIS conference series. As such, they demonstrate how near-future research interests are gradually moving toward exciting new directions.

We thank the authors and reviewers for taking time out from their busy schedules to make this publication possible. We are especially grateful to Prof. Toshio Fukuda of Nagoya University and to Prof. Kaoru Hirota of the Tokyo Institute of Technology for giving us the opportunity to guest-edit JACIII. Our special thanks go to Ms. Reiko Ohta of Fuji Technology Press Ltd. for her ongoing support in publication.

: pp. 1050-1056
Non-Euclidean Extension of FCMdd-Based Linear Clustering for Relational Data
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Takeshi Yamamoto, Katsuhiro Honda, Akira Notsu,
and Hidetomo Ichihashi
: pp. 1057-1064
KL-Divergence-Based and Manhattan Distance-Based Semisupervised Entropy-Regularized Fuzzy c-Means
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Yuchi Kanzawa, Yasunori Endo, and Sadaaki Miyamoto
: pp. 1065-1072
Improving the Robustness of Instance-Based Reinforcement Learning Robots by Metalearning
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Toshiyuki Yasuda, Kousuke Araki, and Kazuhiro Ohkura
: pp. 1073-1081
Extraction of Community Transition Rules from Data Streams as Large Graph Sequence
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Takehiro Yamaguchi and Ayahiko Niimi
: pp. 1082-1094
A Proposal of Memory and Prediction Based Genetic Algorithm Using Speciation in Dynamic Multimodal Function Optimization
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Takumi Ichimura, Hiroshi Inoue, Akira Hara,
Tetsuyuki Takahama, and Kenneth J. Mackin
: pp. 1095-1102
Performance Analysis of Quantum-Inspired Evolutionary Algorithm
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Tomohisa Takata, Teijiro Isokawa, and Nobuyuki Matsui
: pp. 1103-1108
An Approximation Algorithm with Factor Two for a Repetitive Routing Problem of Grasp-and-Delivery Robots
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Yoshiyuki Karuno, Hiroshi Nagamochi,
and Aleksandar Shurbevski
: pp. 1109-1115
Preservation and Application of Acquired Knowledge Using Instance-Based Reinforcement Learning for Multi-Robot Systems
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Junki Sakanoue, Toshiyuki Yasuda, and Kazuhiro Ohkura
: pp. 1116-1122
Spiral Dynamics Inspired Optimization
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Kenichi Tamura and Keiichiro Yasuda
: pp. 1123-1130
Solving the Binding Problem with Separated Extraction of Information by Oscillatory Self-Organizing Maps
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Ryota Miyata and Koji Kurata
: pp. 1131-1138
A Proposal of Genetic Operations for BSIM Parameter Extraction Using Real-Coded Genetic Algorithm
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Ai Nishiba, Hiroharu Kawanaka, Haruhiko Takase,
and Shinji Tsuruoka

Selected Papers from i-SAIRAS 2010

: p. 1139
Selected Papers from i-SAIRAS 2010
Keiki Takadama

This special issue features the selected papers from i-SAIRAS 2010 (The 10th International Symposium on Artificial Intelligence, Robotics and Automation in Space) at Sapporo, Japan on August 29 – September 1, 2010), which explores the technology of Artificial Intelligence (AI), Automation and Robotics, and its application in space. In the AI domain, in particular, i-SAIRAS focuses on the following issues: (1) spacecraft autonomy (e.g., inboard software for mission planning and execution, resource management, fault protection, science data analysis, guidance, navigation and control, smart sensors, testing and validation, architectures); (2) mission operations automation (e.g., decision support tools for mission planning and scheduling, anomaly detection and fault analysis, innovative operations concepts, data visualization, secure commanding and networking); (3) design tools and optimization methods, electronic documentation; and (4) AI methods (e.g., automated planning and scheduling, agents model-based reasoning, machine learning and data mining).

In the selection process for JACIII (Journal of Advanced Computational Intelligence and Intelligent Informatics), 13 papers were firstly nominated from 133 oral presentation papers as outstanding AI-related papers by i-SAIRAS International Committee, and 6 papers were finally accepted through the two-stages of pear-reviews. All papers were reviewed by three reviewers. As the brief introduction of these papers, the paper by Mark Johnston and Mark Giuliano presents an architecture called MUSE (Multi-User Scheduling Environment) to integrate multi-objective evolutionary algorithms with existing domain planning and scheduling tools. The second paper by Amdeo Cesta et al. discusses general lessons learned from a series of deployed planning and scheduling systems. The third paper by Alessandro Donati et al. spotlights specific achievements and trends in the area of spacecraft diagnosis and mission planning and scheduling. The fourth paper by Cedric Cocaud and Takashi Kubota proposes the system that provides position and attitude information to a spacecraft during its approach descent and landing phase toward the surface of an asteroid. The firth paper by Tomohiro Harada et al. studies On-Board Computer which evolves computer programs through the bit inversion and analyzes its robustness to the bit inversion. Finally, the last paper by Masayuki Otani et al. explores the distributed control of the multiple robots which may be broken in the assembly of space solar power satellite. The editor hopes that these papers would help for readers to capture the state-of-art of AI technology in space.

: pp. 1140-1148
Multi-Objective Scheduling for Space Science Missions
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Mark D. Johnston and Mark E. Giuliano
: pp. 1149-1158
Deploying Interactive Mission Planning Tools- Experiences and Lessons Learned –
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Amedeo Cesta, Gabriella Cortellessa, Simone Fratini,
Angelo Oddi, and Giulio Bernardi
: pp. 1159-1166
Benefits of Using Innovative Tools for Diagnostics and Planning in ESA Mission Operations
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Alessandro Donati, Jose Antonio Martinez-Heras,
and Nicola Policella
: pp. 1167-1174
Development of an Intelligent Simulator with SLAM Functions for Visual Autonomous Landing on Small Celestial Bodies
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Cedric Cocaud and Takashi Kubota
: pp. 1175-1185
Robustness to Bit Inversion in Registers and Acceleration of Program Evolution in On-Board Computer
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Tomohiro Harada, Masayuki Otani, Yoshihiro Ichikawa,
Kiyohiko Hattori, Hiroyuki Sato, and Keiki Takadama
: pp. 1186-1196
Improving Recovery Capability of Multiple Robots in Different Scale Structure Assembly
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Masayuki Otani, Kiyohiko Hattori, Hiroyuki Sato,
and Keiki Takadama

No.7

(Sep)

Special Issue on Omnipresent Intelligent Computing – New Developments and Societal Impact
Selected Papers from SCIS & ISIS 2010 – No.1

Regular Papers

: pp. 747-758
Enhancing Bidding Strategy Using Genetic Network Programming in Agent-Based Multiple Round English Auction
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Chuan Yue, Shingo Mabu, and Kotaro Hirasawa
: pp. 759-766
Adaptive Controller for T-S Fuzzy Model with Modeling Error
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Hugang Han
: pp. 767-776
Fuzzy Genetic Network Programming with Noises for Mobile Robot Navigation
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Siti Sendari, Shingo Mabu, Andre Tjahjadi,
and Kotaro Hirasawa
: pp. 777-784
Concept Finding Proofs
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Norihiro Kamide

Special Issue on Omnipresent Intelligent Computing – New Developments and Societal Impact

: p. 785
Omnipresent Intelligent Computing – New Developments and Societal Impact
Alfons Schuster and Daniel Berrar

When the computer revolution began in the second half of the 20th century, few could have foreseen the pervasiveness that intelligent devices would have only half a century later. Today, consumers deal with numerous computing devices providing increasingly sophisticated services. Arguably, no other invention has so profoundly impacted on daily home and work lives as the computer. The downside, however, holds the worrying realization that many artifacts of modern technology now touch on the human sphere to the point of risking an individualfs privacy, security, and well-being.

The new millennium carries the computer revolution to unprecedented levels where new computing paradigms excite researchers beyond the limits of science fiction. The burgeoning field of synthetic biology, for example, has given rise to novel computing approaches based on biomolecular materials. Indeed, silicon is no longer the only substrate for intelligent information processing. Other unconventional approaches such as computing with slime molds, for example, now embrace even living organisms. Information processing and problem solving strategies observed in nature have inspired the design of novelmachine learning algorithms. Seemingly unlimited computer power now enables the in silico simulation of living organisms and the study of evolutionary processes with enormous efficiency. Although many of these novel, nature-inspired approaches are still in their infancy, they might bring a paradigm shift in computational science. How such a technology-driven paradigm shift may affect the gsofth components of our modern complex society is a many-faceted issue that deserves our consideration and exploration.

This special issue focuses on new developments in intelligent computing. A. Schuster and D. Berrar analyze the potentials and risks of current and emerging intelligent computing paradigms. Their article focuses on the interface between humans and intelligent systems and explores potentials and risks emerging for individuals and for the information society at large.

L. Palafox and H. Hashimoto propose a new human activity recognition system that relies on the analysis of five key variables to categorize human activities. A prototypical implementation of the system demonstrates promising results for applications in intelligent room settings.

M. Kimura and M. Sugiyama propose a novel approach to unsupervised clustering, which is based on least squares mutual information. The advantage of this approach is that hyperparameters of clustering algorithms such as kernel parameters no longer need to be manually calibrated, but they can be automatically optimized.

D. Ricinschi and E. Tokumitsu explore new ways of exploiting physical properties of ferroelectric materials. They investigate how the amount of polarization generated by two electrical pulses can be modeled and explained in the framework of game theory.

This special issue informs the research community about exciting new developments in intelligent computing, with an outlook on their societal impacts.

: pp. 786-792
The Omnipresent Computing Menace to Information Society
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Alfons Schuster and Daniel Berrar
: pp. 793-799
4W1H and Particle Swarm Optimization for Human Activity Recognition
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Leon Palafox and Hideki Hashimoto
: pp. 800-805
Dependence-Maximization Clustering with Least-Squares Mutual Information
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Manabu Kimura and Masashi Sugiyama
: pp. 806-812
Multiagent Strategic Interaction Based on a Game Theoretical Approach to Polarization Reversal in Ferroelectric Capacitors
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Dan Ricinschi and Eisuke Tokumitsu

Selected Papers from SCIS & ISIS 2010 – No.1

: p. 813
Selected Papers from SCIS & ISIS 2010 – No.1
Keigo Watanabe, Kazuhiro Ohkura, and Kiyotaka Izumi

SCIS & ISIS is a biennial international joint conference on soft computing and intelligent systems, with research ranging from fuzzy systems, neural networks, and evolutionary computation to multi-agent systems, artificial intelligence, and robotics.

SCIS & ISIS 2010 consisted of the 5th International Conference on Soft Computing and Intelligent Systems (SCIS) and the 11th International Symposium on Advanced Intelligent Systems (ISIS), held at Okayama Convention Center on December 8-12, 2010. Original presentations numbered 302 and participants 322.

After preliminary selection by SCIS & ISIS 2010 session chairs, we listed over 70 papers to be published in extended form in the Special Issue of the Journal of Advanced Computational Intelligence and Intelligent Informatics. After inviting these authors to submit papers for this special issue, we had two referees to review them and accepted 27 for publication in Vol.15, Nos.7 and 8 in 2011.

This special issue presents 15 of these papers covering most conference topics, including fuzzy theory, learning methods, neural networks, and evolutionary computation, with a focus on reinforcement learning, multi-agent system, nonlinear estimation, and real-world applications to visual system, robotics and energy.

We thank the authors and reviewers for their invaluable contributions toward making this special issue possible. We are also grateful to Editors-in-chief Prof. Toshio Fukuda of Nagoya University and Prof. Kaoru Hirota of the Tokyo Institute of Technology for inviting us to serve as Guest Editors.

: pp. 814-821
Merging with Extraction Method for Transfer Learning in Actor-Critic
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Toshiaki Takano, Haruhiko Takase, Hiroharu Kawanaka,
and Shinji Tsuruoka
: pp. 822-930
Network Parameter Setting for Reinforcement Learning Approaches Using Neural Networks
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Kazuaki Yamada
: pp. 831-837
Adaptive Nutrient Water Supply Control of Plant Factory System by Reinforcement Learning
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Takumi Wakahara and Sadayoshi Mikami
: pp. 838-845
“Behavior Composed” for Artificial Flying Creature
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Masashi Furukawa, Makoto Morinaga, Ryosuke Ooe,
Michiko Watanabe, Ikuo Suzuki, and Masahito Yamamoto
: pp. 846-853
Neuro-PID Control for Electric Vehicle
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Shigeru Omatu, Michifumi Yoshioka, and Toru Fujinaka
: pp. 854-859
Nonlinear Active Noise Control via Model-Based Approaches
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Sam Chau Duong, Hiroshi Kinjo, and Naoki Oshiro
: pp. 860-868
An Unscented Rauch-Tung-Striebel Smoother for a Vehicle Localization Problem
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Saifudin Razali, Keigo Watanabe, Shoichi Maeyama,
and Kiyotaka Izumi
: pp. 869-877
Human Pointing Navigation Interface for Mobile Robot with Spherical Vision System
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Yasutake Takahashi, Kyohei Yoshida, Fuminori Hibino,
and Yoichiro Maeda
: pp. 878-887
Experimental Evaluations of Approaching Hand/Eye-Vergence Visual Servoing
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Fujia Yu, Wei Song, Mamoru Minami, Akira Yanou,
and Mingcong Deng
: pp. 888-895
A Workmanlike Orthogonal-Type Robot with a Force Input Device
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Fusaomi Nagata, Takanori Mizobuchi, Sho Yoshitake,
Hitoshi Suzukawa, Hiroto Ishihara, and Keigo Watanabe
: pp. 896-903
Group Behavior Learning in Multi-Agent Systems Based on Social Interaction Among Agents
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Kun Zhang, Yoichiro Maeda, and Yasutake Takahashi
: pp. 904-910
Induction of Cooperative Behavior Through Exchange of Nonverbal Information
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Yuzo Takahashi
: pp. 911-918
Multi-Agent Transport Simulation Model for Eco-Commuting Promotion Planning
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Masashi Okushima and Takamasa Akiyama
: pp. 919-925
Pragmatic Factors Influencing Word Choice: An Examination Based on Corpus and the IR Method
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Yu Wang, Wenzhen Shi, and Tetsuhisa Oda
: pp. 926-933
Smart Management of HVDC Interface Flow for Jeju Island System with High Penetration of Wind Energy
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Hwachang Song, Dong-Hee Yoon, Gilsoo Jang,
and Jang-Ho Lee

No.6

(Aug)

Selected Papers from iFAN 2010

Selected Papers from iFAN 2010

: p. 631
Selected Papers from iFAN 2010
Toshio Fukuda and Yasufumi Takama

The 2010 International Symposium on Intelligent Systems (iFAN2010) was held at Tokyo Metropolitan University, Tokyo, Japan, in September 2010, in conjunction with the 20th anniversary of the 2010 Intelligent System Symposium (FAN2010). These two symposiums provided a fine opportunity for researchers to exchange ideas on basic theories and applications on intelligent systems and iFAN2010 was the first international symposium in the history of the FAN symposium.

From more than 200 papers of FAN2010 and iFAN2010, papers of top quality were invited to this special issue. From 17 papers submitted, 13 outstanding papers have been selected for this special issue after fair and peer review process. As these two symposiums covered a wide variety of intelligence-related issues, this special issue also consists of various topics from basic theories such as machine learning, adaptive control, and optimization, to application-oriented studies such as medical image processing, human support systems, and land mine detection. This issue is expected to contribute much to research on intelligent systems.

As the Editors of this special issue, we thank the contributors and reviewers for their time and cooperation. We look forward to actively participating to the next FAN2011, to be held at Kobe University, Hyogo, Japan, in September 2011, which we hope will be as successful and fruitful as the 2010 symposium.

: pp. 632-638
Adaptive Control Using an Oscillator Network with Capacitive Couplers
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Takuro Moriyama and Daisuke Kurabayashi
: pp. 639-651
Optimization of Fuzzy Logic Controller for Trajectory Tracking Using Genetic Algorithm
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Pintu Chandra Shill, M. A. H. Akhand,
Md. Faijul Amin, and Kazuyuki Murase
: pp. 652-661
Hybrid Ensemble Construction with Selected Neural Networks
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M. A. H. Akhand, Pintu Chandra Shill,
and Kazuyuki Murase
: pp. 662-670
Feature Extraction with Space Folding Model and its Application to Machine Learning
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Minh Tuan Pham, Tomohiro Yoshikawa, Takeshi Furuhashi,
and Kanta Tachibana
: pp. 671-680
Ant Colony Optimization for Feature Selection Involving Effective Local Search
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Md. Monirul Kabir, Md. Shahjahan, and Kazuyuki Murase
: pp. 681-686
Particle Filter with Gaussian Weighting for Vehicle Tracking
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Indah Agustien Siradjuddin
and Muhammad Rahmat Widyanto
: pp. 687-697
Content-Based Image Retrieval via Combination of Similarity Measures
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Kazushi Okamoto, Fangyan Dong, Shinichi Yoshida,
and Kaoru Hirota
: pp. 698-706
Efficient Color Transformations on Quantum Images
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Phuc Q. Le, Abdullah M. Iliyasu, Fangyan Dong,
and Kaoru Hirota
: pp. 707-713
Detection of Lung Nodules in Thoracic MDCT Images Based on Temporal Changes from Previous and Current Images
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Shinya Maeda, Yasuyuki Tomiyama, Hyoungseop Kim,
Noriaki Miyake, Yoshinori Itai, Joo Kooi Tan, Seiji Ishikawa,
and Akiyoshi Yamamoto
: pp. 714-722
Medical Image Diagnosis of Liver Cancer Using a Neural Network and Artificial Intelligence
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Tadashi Kondo, Junji Ueno, and Shoichiro Takao
: pp. 723-730
An Intelligent Human Support System Using Motion Patterns and Environment Information
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Yihsin Ho, Kazumasa Murakami, Tomomi Shibano,
Eri Sato-Shimokawara, and Toru Yamaguchi
: pp. 731-736
Proposal ofWearable Multiremote Controller Using Head-Tracking
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Kohei Miyata, Yuhki Kitazono, Shiyuan Yang,
and Seiichi Serikawa
: pp. 737-743
Development of an Automatic Landmine Detection and Marking System for the Demining Robot Gryphon
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Alex M. Kaneko and Edwardo F. Fukushima

No.5

(Jul)

Special Issue on Human-Robot Interaction Systems

Regular Papers

: pp. 488-494
Genetic Network Programming-Sarsa with Subroutines for Trading Rules on Stock Markets
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Yang Yang, Shingo Mabu, Jianhua Li, and Kotaro Hirasawa
: pp. 495-505
Integrated Rule Mining Based on Fuzzy GNP and Probabilistic Classification for Intrusion Detection
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Nannan Lu, Shingo Mabu, and Kotaro Hirasawa
: pp. 506-514
RTM (Robot Technology Middleware) Based Dynamic Interrupt System for Communication Between Humans and Robots
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Hai An Vu, Fangyan Dong, and Kaoru Hirota
: pp. 515-524
Multi-Order Rules Extraction by Genetic Network Programming with Rule Accumulation and its Application to Stock Trading Problems
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Yafei Xing, Singo Mabu, Lian Yuzhu, and Kotaro Hirasawa
: pp. 525-531
Learning of Obstacle Avoidance with Redundant Manipulator by Hierarchical SOM
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Yuichi Kobayashi and Takahiro Nomura

Special Issue on Human-Robot Interaction Systems

: p. 533
Human-Robot Interaction Systems
Tomomi Hashimoto and Yoshihito Kagawa

Opportunities for human beings and robots to work together are increasing. The objective of this special issuefs ten articles is to activate and expand top-quality research.

In the first, T. Muto and Y. Miyake explore interpersonal cooperative walking replicated for two human beings and the motor-control mechanisms involved.

In the second, Y. Nishikawa, Y. Kagawa, and J. Kurabayashi study control of healthcare equipment and a manipulator using electromyography (EMG) signals.

The third contribution, by T. Hashimoto, Y. Takakura, T. Hamada, T. Akazawa, and M. Yamamoto, details a walking simulator using virtual reality.

The fourth, by Y. Tang, H. A. Vu, P. Q. Le, D. Masano, O. Thet, C. Fatichah, Z. Liu, M. Yamaguchi, M. L. Tangel, F. Dong, Y. Yamazaki, and K. Hirota, proposes casual communication between humans and robots by integrating nonverbal gestures and verbal messages.

Y. Ho, T. Shibano, E. Sato-Shimokawara, and T. Yamaguchi present a system in the fifth article that uses data mining to detect human intent collecting, processing, and analyzing human motion.

In the sixth, K. Rattanyu and M. Mizukawa introduce emotion recognition based on electrocardiography (ECG) signals.

In the seventh article, K. Ogawa, S. Nishio, K. Koda, G. Balistreri, T. Watanabe, and H. Ishiguro discusses two field tests using the Telenoid android.

The eighth contribution, by H. Suzuki and H. Nishi, shows how animal gaits are implemented by quadrupedal robots.

K. Zhang, Y. Maeda, and Y. Takahashi propose multiagent reinforcement learning in the ninth article.

The closing contribution, by B. Piriyanont, N. Uchiyama, and S. Sano, proposes collision avoidance control for a quadrocopter based on the social force model concept.

We thank the referees for their comprehensive reviews and the Fuji Technology Press Ltd. staff for its encouragement and advice.

: pp. 534-544
Dual-Hierarchical Control Mechanism of Interpersonal Embodied Interactions in Cooperative Walking
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Takeshi Muto and Yoshihiro Miyake
: pp. 545-553
High Accurate Discrimination Method of Forearm Motions from Surface Electromyogram and its Condition
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Yoshio Nishikawa, Yoshihito Kagawa, and Jun Kurabayashi
: pp. 554-562
Development of Foot Gait Simulator for Presenting Environment to Each User
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Tomomi Hashimoto, Yasuyuki Takakura,
Toshimitsu Hamada, Toshiko Akazawa,
and Mitsuru Yamamoto
: pp. 563-572
Multimodal Gesture Recognition for Mascot Robot System Based on Choquet Integral Using Camera and 3D Accelerometers Fusion
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Yongkang Tang, Hai An Vu, Phuc Q. Le, Daisuke Masano,
OoHan Thet, Chastine Fatichah, Zhentao Liu,
Masashi Yamaguchi, Martin Leonard Tangel,
Fangyan Dong, Yoichi Yamazaki, and Kaoru Hirota
: pp. 573-581
Data Mining Using Human Motions for Intelligent Systems
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Yihsin Ho, Tomomi Shibano, Eri Sato-Shimokawara,
and Toru Yamaguchi
: pp. 582-591
Emotion Recognition Based on ECG Signals for Service Robots in the Intelligent Space During Daily Life
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Kanlaya Rattanyu and Makoto Mizukawa
: pp. 592-597
Exploring the Natural Reaction of Young and Aged Person with Telenoid in a Real World
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Kohei Ogawa, Shuichi Nishio, Kensuke Koda,
Giuseppe Balistreri, Tetsuya Watanabe,
and Hiroshi Ishiguro
: pp. 598-605
Generation Method of Quadrupedal Gait Based on Human Feeling for Animal Type Robot
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Hidekazu Suzuki and Hitoshi Nishi
: pp. 606-616
Cooperative Behavior Learning Based on Social Interaction of State Conversion and Reward Exchange Among Multi-Agents
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Kun Zhang, Yoichiro Maeda, and Yasutake Takahashi
: pp. 617-623
Model Reference Control for Collision Avoidance of a Human-Operated Quadrotor Helicopter
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Busara Piriyanont, Naoki Uchiyama, and Shigenori Sano

No.4

(Jun)

Selected Papers from ISMEf2010

Selected Papers from ISMEf2010

: p. 399
Selected Papers from ISME’2010
Vladik Kreinovich and Vyacheslav Kalashnikov

The International Society of Management Engineers (ISME), founded in April 2003 to support ME innovation and research, covers methods and techniques related to industrial production and management, in contrast to conventional industrial engineering. Recent examples include innovative research on such topics as

· logistics,

· service,

· supply chain management,

· knowledge management.

These topics, among others, are part of ME. Other important ME areas are mobile business and e-commerce.

The ISME organized its first symposium in 2004, with such symposiums becoming a regular event. This special issue focuses on papers from the seventh International Symposium on Management Engineering ISMEf2010, held on August 26-28, 2010, in Kitakyushu, Japan. It also includes several related papers. ISME’2010 centered on “Management Engineering — Bridging the Gap between Humans and Systems.”

The symposiumfs topics include organization, corporate strategy, project management, technology management, intelligence, computation, operations research, probability and possibility theories, fuzzy sets, rough sets, approximate reasoning, linguistic information processing and automata, knowledge discovery, clustering and data analysis, fuzzy control and modeling, optimization under uncertainty and its applications, games and decision making, fuzzy analysis, and fuzzy games. These topics are reflected in this issue’s contributions.

We thank:

· the authors for their outstanding work,

· ISMEf2010 participants for their helpful suggestions,

· the reviewers for their thorough analysis and constructive help,

· Professor Junzo Watada for his kind suggestions in hosting this issue, and

· the journal staff for their tireless work.

: pp. 400-405
Next Generation Passive Optical Networking Technology Predictions by Using Hybrid MCDM Methods
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Chi-Yo Huang, Shih-Yu Chang, Yu-Hsien Yang,
and Gwo-Hshiung Tzeng
: pp. 406-417
Using Hybrid MCDM Methods to Assess Fuel Cell Technology for the Next Generation of Hybrid Power Automobiles
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Chi-Yo Huang, Yi-Hsuan Hung, and Gwo-Hshiung Tzeng
: pp. 418-424
Product Innovation of Shinzaburo Hanpu and Regional Characteristic of Kyoto
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Yusuke Irisawa and Shin’ya Nagasawa
: pp. 425-432
Consistent Conjectural Variations Equilibrium in a Mixed Duopoly
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Nataliya I. Kalashnykova, Vladimir A. Bulavsky, Vyacheslav V. Kalashnikov, and Felipe J. Castillo Pérez
: pp. 433-437
Statistical Analysis for Human Preference to Colors
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Taki Kanda
: pp. 438-448
Trustees’ and Investors’ Behavior in the First Two Rounds of a Trust Game: Overview and a (Partial) Explanation Based on Cooperative Game Theory
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Misha Koshelev
: pp. 449-453
Rough Sets Based Prediction Model of Tick-Wise Price Fluctuations
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Yoshiyuki Matsumoto and Junzo Watada
: pp. 454-459
Knowledge Mining for Project Management and Execution
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Shinji Mochida
: pp. 460-464
Chanel’s Strategy of Communication Tools and Packaging for its Beauty Products
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Shin’ya Nagasawa and Kana Sugimoto
: pp. 465-472
Multi-Attribute Decision Making in Contractor Selection Under Hybrid Uncertainty
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Arbaiy Nureize and Junzo Watada
: pp. 473-478
A Hybrid Particle Swarm Optimization Approach and its Application to Solving Portfolio Selection Problems
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Shamshul Bahar Yaakob and Junzo Watada
: pp. 479-484
Fuzzy Robust Regression Model by Possibility Maximization
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Yoshiyuki Yabuuchi and Junzo Watada

No.3

(May)

Special Issue on Fuzzy Rule Interpolation
Selected Papers from ISCIIA 2010

Special Issue on Fuzzy Rule Interpolation

: p. 253
Fuzzy Rule Interpolation
Szilveszter Kov?cs

Fuzzy Rule Interpolation (FRI) methods are well known tools for reasoning in case of insufficient knowledge expressed as sparse fuzzy rule-bases. It also provides a simple way to define fuzzy functions. Despite these advantages, FRI techniques are relatively rarely applied in practice.

Enabling sparse fuzzy rule-bases, FRI dramatically simplifies rule-base creation. Regardless of whether the rule-base is generated by a human expert, or automatically from input-output data, the ability to provide reasonable interpolated conclusions even if no rule fires for a given observation, help to concentrate on cardinal actions alone. This reduces the number of rules needed, speeds up parameter optimization and validation steps, and hence simplifies rule-base creation itself.

This special issuefs six papers take six different directions in current FRI research.

The first introduces the FRI concept and sets up a unified criteria and evaluation system. This work collects the main properties an FRI method generally has to fulfill. The next two papers are related to the constantly important mainstream research on the more and more sophisticated FRI methods, the endeavor of finding the best way for defining a fuzzy valued fuzzy function based on data given in the form of the relation of fuzzy sets, i.e., in fuzzy rules. The second paper introduces a novel FRI method that is able to handle fuzzy observations activating multiple rule antecedents applying the concept of nonlinear fuzzy-valued function. The third paper presents a novel ganalogical-basedh FRI method that rather fits into the traditional FRI research line, improving the n-rule-based gscale and move transformationh FRI to ensure continuous approximate functions. The fourth paper addresses the issue of defining a distance function between fuzzy sets on a domain that is not necessarily Euclidean metric space. In FRI, this takes on the importance if antecedent or consequent domains are non-Euclidean metric spaces. The last two papers discuss direct FRI control applications. One is an example proving that the sparse fuzzy rule-base is an efficient knowledge representation in intelligent control solutions. The last deals with the computational efficiency of implemented FRI methods applied to direct control area, clearly showing that the sparse fuzzy rule-base is not only a convenient way for knowledge representation, but also makes FRI methods possible devices for direct embedded control applications.

: pp. 254-263
Fuzzy Rule Interpolation and Extrapolation Techniques: Criteria and Evaluation Guidelines
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Domonkos Tikk, Zsolt Csaba Johanyák,
Szilveszter Kovács, and Kok Wai Wong
: pp. 264-287
Inference for Nonlinear Mapping with Sparse Fuzzy Rules Based on Multi-Level Interpolation
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Kiyohiko Uehara, Shun Sato, and Kaoru Hirota
: pp. 288-298
Generalisation of Scale and Move Transformation-Based Fuzzy Interpolation
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Qiang Shen and Longzhi Yang
: pp. 299-303
Compound Distance Function for Similarity Measurement Between Fuzzy Sets
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László Kovács
: pp. 304-312
Intelligent Automated Guided Vehicle Controller with Reverse Strategy
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Shigeru Kato and Kok Wai Wong
: pp. 313-320
Performance Optimization of the Fuzzy Rule Interpolation Method “FIVE”
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Dávid Vincze and Szilveszter Kovács

Selected Papers from ISCIIA 2010

: p. 321
Selected Papers from ISCIIA 2010
Yasufumi Takama

The 4th International Symposium on Computational Intelligence and Industrial Applications (ISCIIA2010), held at the Harbin University of Science and Technology in Heilongjiang Province, China, in August 2010 focused on advanced technologies for computational intelligence and industrial applications. A series of ISCIIA symposiums has provided a unique opportunity for the academic and industrial communities to address new challenges, share new-found solutions, and discuss directions for future research.

Of the ISCIIA2010fs 50 papers, 11 outstanding papers have been selected for this special issue after fair and strict review process. Among this issuefs topics are fuzzy logic,Web mining, Kansei Information Processing (KIP), brain informatics, and human-centered systems. Given the importance of these topics to both the academic and industrial communities, this issue should contribute much to active exchange between both communities.

As the Editor of this special issue, I thank all of the contributors and reviewers for their time and cooperation. Herefs hoping that the next ISCIIA, which is being held in Hokkaido, Japan, in 2012, will be as successful and fruitful as the 2010 symposium has been.

: pp. 322-328
Semantically Enhanced Code Clone Refinement Algorithm Based on Analysis of Multiple Detection Reports
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Ricardo Sotolongo, Fangyan Dong, and Kaoru Hirota
: pp. 329-335
A Fuzzy Weights Representation for Inner Dependence AHP
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Shin-ichi Ohnishi, Takahiro Yamanoi, and Hideyuki Imai
: pp. 336-344
Fuzzy Nonlinear Regression Analysis Using Fuzzified Neural Networks for Fault Diagnosis of Chemical Plants
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Daisaku Kimura, Manabu Nii, Takafumi Yamaguchi,
Yutaka Takahashi, and Takayuki Yumoto
: pp. 345-350
Unnormalized Interval Type-2 TSK Fuzzy Logic System Design Based on Convexity and Sample Data
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Tiechao Wang and Jianqiang Yi
: pp. 351-356
Adaptive Cruise Control Based on Reinforcement Leaning with Shaping Rewards
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Zhaohui Hu and Dongbin Zhao
: pp. 357-361
Spatiotemporal Brain Activity During Hiragana Word Recognition Task
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Hisashi Toyoshima, Takahiro Yamanoi,
Toshimasa Yamazaki, and Shin-ichi Ohnishi
: pp. 362-369
Cerebral Contour Extraction with Particle Method in Neonatal MR Images
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Syoji Kobashi, Daisuke Yokomichi, Yuki Wakata,
Kumiko Ando, Reiichi Ishikura, Kei Kuramoto,
Shozo Hirota, and Yutaka Hata
: pp. 370-376
Toward New Practical Education Based on Professional Kansei
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Koji Murai, Yuji Hayashi, Kei Kuramoto,
Takayuki Fujita, Kazusuke Maenaka,
Kohei Higuchi, and Tsunemasa Saiki
: pp. 377-382
Finding Communities Using User Preference in Web Structure Mining
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Takeshi Yoshikawa and Hidetoshi Nonaka
: pp. 383-388
Autonomous Environmental Sensing System for Human Activity Monitoring
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Takayuki Fujita, Jun Okada, Sayaka Okochi,
Kohei Higuchi, and Kazusuke Maenaka
: pp. 389-395
Information Presentation Support of Car Robotics Simulator System Based on Humatronics
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Cheng Chang, Gen Ohbayashi, Toru Yamaguchi,
and Eri Sato-Shimokawara

No.2

(Mar)

Special Issue on New Trends in Agent-Based Simulation

Regular Papers

: pp. 125-133
A Similarity Rough Set Model for Document Representation and Document Clustering
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Nguyen Chi Thanh, Koichi Yamada, and Muneyuki Unehara
: pp. 134-144
Mean Local Trend Error and Fuzzy-Inference-Based Multicriteria Evaluation for Supply Chain Demand Forecasting
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Jingpei Dan, Fuding Xie, Fangyan Dong, and Kaoru Hirota
: pp. 145-155
A Proposal of Stock Price Predictor Using Associated Memory
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Shigeki Nagaya, Zhang Chenli, and Osamu Hasegawa
: pp. 156-163
Integrated Decision-Making System for Robot Soccer
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Ján Vaščák and Kaoru Hirota

Special Issue on New Trends in Agent-Based Simulation

: p. 165
New Trends in Agent-Based Simulation
Keiki Takadama and Kiyoshi Izumi

Agent-Based Simulation (ABS), an interdisciplinary area embracing both the computer science and the social science, has attracted much attention and aided the understanding of socially complex phenomena. A current important issue in this research area is how to improve ABS effectiveness and comprehension, which makes further mutual influence between the computer science and the social sciences indispensable – e.g., (1) agent modeling involving learning mechanisms in the computer science and (2) social dynamics analysis needed in the social science. Such integration of these two areas would help fulfill the great potential of ABS, first in solving complex engineering problems using agent-based technology and second in developing and testing new theories on socially complex systems.

This special issue features ABS papers from both of these important areas exploring new trends in ABS. The 10 papers composing this special issue start with papers by Nobutada Fujii and Hiroyasu Inoue analyzing the relationship between the network structure and system dynamics. In these papers, an agent-based computational economics approach has been active in applying agent-based technologies to financial and economic systems. Papers by Biliana Alexandrova-Kabadjova, Isamu Okada, TomokoOhi, and Nariaki Nishino cover consumer and financial markets using agent-based models. They test economic theory and examine market phenomena for market design. Agent-based simulation is increasingly used in application fields in the social sciences. Papers by Kiyoshi Izumi, Hideki Fujii, Hiromitsu Hattori, and Shigeo Sagai propose solutions for actual social problems such as injury prevention, traffic, and electrical power. Models are created based on behavior data, and the integration of an agent-based model and real data is a hot topic in this area.

As the beginning of these technical papers, this issue starts by a position paper to give an ABS overview for understanding important issues in ABS from an overall viewpoint and for understanding state-of-the-art ABS. The information presented is invaluable in helping readers grasp the important features of ABS.

: pp. 166-172
Social and Group Simulation Based on Real Data Analysis
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Kiyoshi Izumi, Keiki Takadama, Hiromitsu Hattori,
Nariaki Nishino, and Itsuki Noda
: pp. 173-179
Agent-Based Simulation of Product Diffusion with Network Externality in a Heterogeneous Consumer Network
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Nobutada Fujii, Toshiya Kaihara, and Takashi Eda
: pp. 180-187
Analyses of Compound Structures of Groups that Produce Intellectual Property
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Hiroyasu Inoue
: pp. 188-196
Competition is Bad for Consumers: Analysis of an Artificial Payment Card Market
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Biliana Alexandrova-Kabadjova, Edward Tsang,
and Andreas Krause
: pp. 198-203
Effects of Information Diffusion in OnlineWord-of-Mouth Communication Among Consumers
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Isamu Okada and Hitoshi Yamamoto
: pp. 204-211
Simulation of Futures and Spot Markets by Using an Agent-Based Multi-Market Model
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Tomoko Ohi, Yasuhiro Hashimoto, Yu Chen, and Hirotada Ohashi
: pp. 212-219
Bounded Rationality on Consumer Purchase Decisions and Product Diffusion Under Network Externalities: A Study Using Agent-Based Simulation and Experiments with Human Subjects
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Nariaki Nishino, Sobei H. Oda, and Kanji Ueda
: pp. 220-225
Risk Evaluation by Human Trajectory Simulation Based on Real Data
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Kiyoshi Izumi, Yoshifumi Nishida, and Yoichi Motomura
: pp. 226-232
Virtual Social Experiment of Tram Railway Extension Using Multi-Agent-Based Traffic Simulator
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Hideki Fujii, Takafumi Sakurai, and Shinobu Yoshimura
: pp. 233-239
Massive Multiagent-Based Urban Traffic Simulation with Fine-Grained Behavior Models
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Hiromitsu Hattori, Yuu Nakajima, and Shohei Yamane
: pp. 240-248
Analyzing the Emergency Restoration Processes of an Electric Power Distribution Network by a Multi-Agent Simulator
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Shigeo Sagai, Toshikatsu Mori, and Takao Terano

No.1

(Jan)

Special Issue on Modeling Decisions for Artificial Intelligence

Regular Papers

: pp. 3-12
No Time Limit and Time Limit Model of Multiple Round Dutch Auction Based on Genetic Network Programming
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Shingo Mabu, Donggeng Yu, Chuan Yue, and Kotaro Hirasawa
: pp. 13-20
Efficient Optimization Using Experimental Queries: A Peak-Search Algorithm for Efficient Load-Pull Measurements
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Charles Baylis, Lawrence Dunleavy, Steven Lardizabal,
Robert J. Marks II, and Alberto Rodriguez
: pp. 21-33
Predictor Using an Error-Convergence Neuron Network and its Application to Electrocardiograms
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Shunsuke Kobayakawa and Hirokazu Yokoi
: pp. 34-40
Common Testbed Generating Tool Based on XML for Multiple Interdependent Issues Negotiation Problems
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Katsuhide Fujita, Takayuki Ito, and Mark Klein
: pp. 41-54
A Fuzzy Multiobjective Particle Swarm Optimized TS Fuzzy Logic Congestion Controller for Wireless Local Area Networks
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Clement N. Nyirenda, Dawoud S. Dawoud, Fangyan Dong,
Michael Negnevitsky, and Kaoru Hirota

Special Issue on Modeling Decisions for Artificial Intelligence

: p. 55
Modeling Decisions for Artificial Intelligence
Vicenç Torra, Yasuo Narukawa, and Masahiro Inuiguchi

The 6th International Conference on Modeling Decisions for Artificial Intelligence (MDAI) was held at Awaji Island, Japan, from November 30 to December 2, 2009 and was the inspiration for this special issue.

The nine selected papers concern soft computing tool applications.

The first, by Yoshida, studies the risk analysis of portfolios under uncertainty and gives expressions showing explicit relationships among parameters in a portfolio.

The second, by Entani, proposes an efficiency-interval-based measure based on interval data envelopment analysis.

The third, by Hamasuna, Endo, and Miyamoto, concerns clustering for data with tolerance and proposes algorithms for this type of data.

The fourth, by Endo, Hasegawa, Hamasuna, and Kanzawa, focuses on fuzzy c-means clustering for uncertain data using quadratic regularization.

The fifth, by Honda, Notsu, and Ichihashi, also involves clustering, focusing on variable selection/weighting in PCA-guided k-means.

The sixth, by Hwang and Miyamoto, covers clustering focusing on kernel fuzzy c-means and some interesting new results.

The seventh, by Kanzawa, Endo, and Miyamoto, uses fuzzy c-means in semisupervised fuzzy c-means.

The eighth, by Kudo and Murai, is devoted to rough sets, proposing a heuristic algorithm for calculating a relative reduct candidate.

The closing contribution, by Kusunoki and Inuiguchi, is also devoted to rough sets, with the authors studying rough set models in information tables with missing values.

We thank the referees for their review work, and the Fuji Technology Press Ltd. staff for its encouragement and advice.

: pp. 56-62
Risk Analysis of Portfolios Under Uncertainty: Minimizing Average Rates of Falling
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Yuji Yoshida
: pp. 63-67
Ranking of DMUs Based on Efficiency Intervals
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Tomoe Entani
: pp. 68-75
Fuzzy c-Means Clustering for Data with Clusterwise Tolerance Based on L2– and L1-Regularization
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Yukihiro Hamasuna, Yasunori Endo, and Sadaaki Miyamoto
: pp. 76-82
Fuzzy c-Means Clustering for Uncertain Data Using Quadratic Penalty-Vector Regularization
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Yasunori Endo, Yasushi Hasegawa, Yukihiro Hamasuna,
and Yuchi Kanzawa
: pp. 83-89
Variable Weighting in PCA-Guided k-Means and its Connection with Information Summarization
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Katsuhiro Honda, Akira Notsu, and Hidetomo Ichihashi
: pp. 90-94
Kernel Functions Derived from Fuzzy Clustering and Their Application to Kernel Fuzzy c-Means
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Jeongsik Hwang and Sadaaki Miyamoto
: pp. 95-101
Semi-Supervised Fuzzy c-Means Algorithm by Revising Dissimilarity Between Data
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Yuchi Kanzawa, Yasunori Endo, and Sadaaki Miyamoto
: pp. 102-109
Heuristic Algorithm for Attribute Reduction Based on Classification Ability by Condition Attributes
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Yasuo Kudo and Tetsuya Murai
: pp. 110-116
Variable Precision Rough Set Model in Information Tables with Missing Values
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Yoshifumi Kusunoki and Masahiro Inuiguchi

Vol.14 (2010)

No.7

(Nov)

Special Issue on Human Symbiotic System

Regular Papers

: pp. 751-755
A Dual-Axis Liquid-Rate Microgyroscope Using Electro-Conjugate Fluid
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Shinichi Yokota, Yoshitsugu Ogawa, Kenjiro Takemura,
and Kazuya Edamura

Special Issue on Human Symbiotic System

: p. 757
Human Symbiotic System
Yoichiro Maeda and Daisuke Katagami

With opportunities for human beings to coexist with artificial agents and autonomous robots are increasing, high-level interactive communication between them is increasingly needed. These human symbiotic systems are used for research on basic intelligent interaction design principles and methods and bidirectional communication based on effective collaboration and symbiosis between human beings and robots, agents, and computers, also known as artifacts.

The research society on gHuman Symbiotic System (HSS)h was implemented by the Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT) in 2007. The HSS encourages academic and industrial discussion of research on Human-Agent Interaction (HAI), Human-Robot Interaction (HRI), and Human-Computer Interaction (HCI).

The objective of this special issue is to activate and expand top-quality research of HSS theory and applications. Reflecting the fact that this research covers a wide range of topics, we invited researchers from fields including intelligent robotics, human-machine interfaces, and Kansei engineering to contribute. This issue thus provides much of the latest practical research on HSS, introduced by core members of the research society.

Of the 22 papers received, 14 were accepted after input from two reviewers each. The first paper, by Y. Tamura et al., presents an attentive deskwork support system that delivers required items objects to deskworkers. The second, by H. Masuta et al., discusses an integrated perceptual system for intelligent service robots. The third, by S. Akiguchi, develops an automatic pattern generation system based on user impression. The fourth, by Y. Jiang et al., deals with a novel interface recognizing directional user intent based on forearm pressure exerted by the user of an omnidirectional walker.

The fifth paper, by K. Terabayashi et al., investigates effects of preoperation on the experience of hands of different sizes by classifying preoperations based on the hand/object relationship. The sixth, by Y. Tamura et al., proposes segmenting a performerfs body imitating behavior observed based on a system from which values are obtained by reinforcement learning. The seventh, by D. Katagami et al., discusses group-adaptive behavior based on utterance contents and social standing of a robot. The eighth, by H. Yamaguchi et al., presents a system for using discounted utterances in spontaneous conversations applying text-mining technology.

The ninth paper, by A. Otaki et al., focuses on the development of human negotiation skill through interaction between human players and computer agents in bargaining games. The tenth, by D. Katagami et al., is also related to human negotiation skill implementing human gestures in negotiation scenarios for three negotiation agents. The eleventh, by R. Taki et al., realizes interactive emotion communication – bidirectional communication based on emotional behavior between human beings and robots. The twelfth, by J. Ichino et al., investigates the psychological effects of color on online documents through a proposed online document interface.

The thirteenth paper, by T. Ando et al., studies the robot facial effectiveness in human interpretation. The fourteenth, by T. Ando et al., models robot self-sufficiency applying an urge system focusing on autonomous emotion.

This issue has addressed the importance of HSS and highlighted innovative approaches to the development of artificial system more friendly to users. We thank the authors and referees for their ongoing efforts, without which this issue would not have been possible.

: pp. 758-769
Attentive Deskwork Support System
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Yusuke Tamura, Masao Sugi, Tamio Arai, and Jun Ota
: pp. 770-775
An Integrated Perceptual System of Different Perceptual Elements for an Intelligent Robot
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Hiroyuki Masuta and Naoyuki Kubota
: pp. 776-783
Development of Automatic Pattern Generation System Based on User Impressions
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Shunsuke Akiguchi
: pp. 784-792
Directional Intention Identification for Running Control of an Omnidirectional Walker
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Yinlai Jiang, Shuoyu Wang, Kenji Ishida, Takeshi Ando,
and Masakatsu G. Fujie
: pp. 793-801
Role of Pre-Operation in Experiencing Differently Sized Hands
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Kenji Terabayashi, Natsuki Miyata, Kazunori Umeda,
and Jun Ota
: pp. 802-812
Observed Body Clustering for Imitation Based on Value System
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Yoshihiro Tamura, Yasutake Takahashi,
and Minoru Asada
: pp. 813-824
Robot Group Adaptation Gestures Based on Utterance Content and Social Position
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Daisuke Katagami, Ken Ogawa, and Katsumi Nitta
: pp. 825-830
A Method for Using Discounted Utterances in Spontaneous Conversation
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Hiroki Yamaguchi, Yukio Ohsawa, and Yoko Nishihara
: pp. 831-839
Toward Strategic Human Skill Development Through Human and Agent Interaction: Improving Negotiation Skill by Interacting with Bargaining Agent
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Atsushi Otaki, Kiyohiko Hattori, and Keiki Takadama
: pp. 840-851
Behavior Generation and Evaluation of Negotiation Agent Based on Negotiation Dialogue Instances
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Daisuke Katagami, Yusuke Ikeda, and Katsumi Nitta
: pp. 852-859
Personal Preference Analysis for Emotional Behavior Response of Autonomous Robot in Interactive Emotion Communication
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Ryohei Taki, Yoichiro Maeda, and Yasutake Takahashi
: pp. 860-868
Psychological Effects of Color in Overview+Detail Document Interface
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Junko Ichino, Kazuhiro Takeuchi, and Hitoshi Isahara
: pp. 869-876
Relationship Between Mechadroid Type C3 and Human Beings Based on Physiognomic Features
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Teruaki Ando, Atsushi Araki, Masayoshi Kanoh,
Yutaro Tomoto, and Tsuyoshi Nakamura
: pp. 877-884
Psychological Effects of a Self-Sufficiency Model Based on Urge System
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Teruaki Ando and Masayoshi Kanoh

No.6

(Sep)

Special Issue on Advances in Computational Intelligence, Learning and Their Applications
Special Issue on AISAT 2009 - Selected Papers

Regular Papers

: pp. 567-573
Guaranteed Cost Output Feedback Control of Fuzzy Systems via LMI Approach
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Shusaku Nishikawa and Jun Yoneyama
: pp. 574-580
Task Allocation in Multistate Systems
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Tsuyoshi Mizuguchi, Ken Sugawara,
and Toshiya Kazama
: pp. 581-592
Inference Based on α-Cut and Generalized Mean in Representing Fuzzy-Valued Functions
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Kiyohiko Uehara, Takumi Koyama, and Kaoru Hirota
: pp. 593-605
An Online Incremental Semi-Supervised Learning Method
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Furao Shen, Hui Yu, Youki Kamiya, and Osamu Hasegawa
: pp. 606-615
Interactive Learning of Verbal Descriptors Meanings for Face Drawing System
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Hafida Benhidour and Takehisa Onisawa

Special Issue on Advances in Computational Intelligence, Learning and Their Applications

: p. 617
Advances in Computational Intelligence, Learning and Their Applications
Goutam Chakraborty and Yong Liu

Algorithms based on Computational Intelligence (CI) and algorithms for learning, attracted a large community of researchers in the last four decades or more. In the beginning, such algorithms were motivated to realize human intelligence in machines. They were to explore novelties in research rather than to implement them for products or services. By the end of the 1990s, CI already had a strong theoretical basis. By then, advanced hardware technologies, cheap chip design, miniaturization and reduced power requirement for hardware, encouraged intelligent algorithm applications to proliferate in real products. This trend is growing, and will continue for long in future.

When this special issue was proposed for publication, we were almost certain that submissions on applications would outnumber those on new algorithms on CI or learning per se – and we were right!

The September 2009 Intelligent System Symposium, FAN2009 – the nineteenth in the series – organized at the University of Aizu in Japan, attracted over 100 submissions. Reviewers were asked to comment on the suitability of individual submissions for consideration for this journal issue. We personally checked all recommended submissions, finally settling on just 12 for publication. Authors were asked to expand on their work. Each paper, submitted for this special issue, was further judged by 3 reviewers. Finally, 3 papers were rejected and 9 accepted.

Of the 9 selected, the first deals with Optimization Algorithms. The remaining 8 are on applications. The second and the third papers are on document clustering and recommendation. The fourth and the fifth cover applications on image recognition – posture estimation of human body, and object segmentation using stereo images. The remaining four papers are applications of CI in different ways. The sixth is on similarity computation using collaborative filtering, the seventh deals with interesting stock-market investor behavior, and the eighth on collecting environmental information from wireless ZigBee sensor networks for use in indoor positioning systems. The final paper is an engineering application of CI, tracker for photovoltaic systems using online learning neural networks. All papers selected are interesting and novel in their application areas and approaches. We expect this issue to encourage young researchers to apply CI to novel problems.

We thank the authors for submitting their work and the reviewers for their selfless service. We also thank Reiko Ohta of Fuji Technology Press for her unflagging aid in making this issue a success.

: pp. 618-623
Basic Study on Assembling of Objective Functions in Many-Objective Optimization Problems
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Shun Otake, Tomohiro Yoshikawa, and Takeshi Furuhashi
: pp. 624-630
Applying Naive Bayes Classifier to Document Clustering
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Jie Ji and Qiangfu Zhao
: pp. 631-637
Recommendation System Using Weighted TF-IDF and Naive Bayes Classifiers on RSS Contents
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Incheon Paik and Hiroshi Mizugai
: pp. 638-644
Posture Estimation of Human Body Based on Connection Relations of 3D Ellipsoidal Models
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Mitsuhiro Hayase and Susumu Shimada
: pp. 645-653
Spatial Object Segmentation Using Stereo Images
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Yong Hao, Lifeng He, Tsuyoshi Nakamura,
Yuyan Chao, and Hidenori Itoh
: pp. 654-660
Similarity Computation Method for Collaborative Filtering Based on Optimization
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Akihiro Yamashita, Hidenori Kawamura, and Keiji Suzuki
: pp. 661-668
Effect of Overconfident Investor Behavior to Stock Market
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Ryota Inaishi, Kaoru Toya, Fei Zhai,
and Eisuke Kita
: pp. 669-676
An Indoor Positioning System Based on Probabilistic Model with ZigBee Sensor Networks
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Junpei Tsuji, Hidenori Kawamura, Keiji Suzuki,
Takeshi Ikeda, Akio Sashima,
and Koichi Kurumatani
: pp. 677-682
High-Speed Maximum Power Point Tracker for Photovoltaic Systems Using Online Learning Neural Networks
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Yasushi Kohata, Koichiro Yamauchi, and Masahito Kurihara

Special Issue on AISAT 2009 - Selected Papers

: p. 683
AISAT 2009 – Selected Papers
Michael Negnevitsky

Artificial Intelligence (AI) is the key to success in novel applications ranging from robotics to speech- and image-recognition systems, and from stock forecast investment systems to informal communication between robots and humans. The last two decades have seen AIfs focus shift from philosophical arguments to practical applications in both science and technology. AI researchers and educators have simultaneously recognized mutual commonality in their work and have initiated much-needed multidisciplinary approaches to AI.

Guest Editor, Michael Negnevitsky, organized the 3rd International Workshop on Artificial Intelligence in Science and Technology (AISAT 2009) in Hobart, Tasmania, Australia last year, bringing together a globally diverse group of scientists and engineers to discuss issues related to practical AI applications in science and technology. The workshop featured presentations from the US, Japan, Malaysia, Spain, Kuwait, and Australia. All papers were peer reviewed by two experts for technical content, contribution, and originality to ensure high presentation quality. Fewer than 30% of submissions were accepted for presentation at the Workshop.

Authors of the most outstanding presentations at AISAT 2009 were encouraged to submit manuscripts to this special issue, whose papers present innovative approaches and promising practical applications for AI. Submissions were reviewed for relevance, originality, significance, and presentation based on JACIII review criteria.

We are sure that readers will find these papers both interesting and inspiring. We hope also that they will motivate researchers to expand their studies on AI applications in science and technology.

: pp. 684-699
Linguistic Geometry: The Age of Maturity
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Boris Stilman, Vladimir Yakhnis, and Oleg Umanskiy
: pp. 700-707
How AI-Type Uncertainty Ideas Can Improve Inter-Disciplinary Collaboration and Education: Lessons from a Case Study
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Paulo Pinheiro da Silva, Aaron Velasco, Olga Kosheleva, and Vladik Kreinovich
: pp. 708-713
Intelligent Intrusion Detection Based on Genetically Tuned Artificial Neural Networks
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Leon Reznik, Michael J. Adams, and Bryan Woodard
: pp. 714-721
FPGA-Based Relative Distance Estimation for Indoor Robot Control Using Monocular Digital Camera
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Ying-Hao Yu, Chau Vo-Ky, Sarath Kodagoda,
and Quang Phuc Ha
: pp. 722-728
An Artificial Intelligence Approach to Develop a Time-Series Prediction Model of the Arc Furnace Resistance
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Abu Mohammad Osman Haruni and Michael Negnevitsky
: pp. 729-734
An Analysis of Group Recommendation Strategies
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Shlomo Berkovsky and Jill Freyne
: pp. 735-745
Implementation of Neural Network Models for Parameter Estimation of a PEM-Electrolyzer
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Steffen Becker and Vishy Karri
: pp. 741-745
Conversation System with State Information
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Elyse Marie Glina and Byeong-Ho Kang

No.5

(Jul)

Special Issue on Software Engineering for Web Intelligence
Special Issue on ISIS 2009, Dong-A University, Busan, Korea

Regular Papers

: pp. 425-430
A Tool for Visualizing the Behavior of Fuzzy Constraint Satisfaction Solvers
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Takuto Yanagida, Masahito Kurihara, and Hidetoshi Nonaka
: pp. 431-441
Effective Cycle Time: A Real World Balancing Index for Paced Assembly Lines
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Konstantinos N. Genikomsakis and Vassilios D. Tourassis
: pp. 442-452
A Novel Taxi Dispatch System Integrating a Multi-Customer Strategy and Genetic Network Programming
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QingBiao Meng, Shingo Mabu, Lu Yu, and Kotaro Hirasawa
: pp. 453-463
A Model for Generating Facial Expressions Using Virtual Emotion Based on Simple Recurrent Network
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Yuki Matsui, Masayoshi Kanoh, Shohei Kato,
Tsuyoshi Nakamura, and Hidenori Itoh
: pp. 464-474
Evolving Asset Portfolios by Genetic Relation Algorithm
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Victor Parque, Shingo Mabu, and Kotaro Hirasawa
: pp. 475-486
The Search for a Search: Measuring the Information Cost of Higher Level Search
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William A. Dembski and Robert J. Marks II
: pp. 487-496
A Double-Deck Elevator Systems Controller with Idle Cage Assignment Algorithm Using Genetic Network Programming
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Shingo Mabu, Lu Yu, Jin Zhou, Shinji Eto,
and Kotaro Hirasawa
: pp. 497-509
Genetic Network Programming with Estimation of Distribution Algorithms for Class Association Rule Mining in Traffic Prediction
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Xianneng Li, Shingo Mabu, Huiyu Zhou,
Kaoru Shimada, and Kotaro Hirasawa

Special Issue on Software Engineering for Web Intelligence

: p. 511
Software Engineering for Web Intelligence
Jonathan Lee and Jong Yih Kuo

Software engineering, in applying engineering to software, advocates the application of systematic, disciplined, quantifiable approaches to development, operation, and maintenance of software. Software engineering is also considered a transformational process that models the real world on a corresponding software world. Recent advances in software engineering applied to Web intelligence have been recognized as a wave in scientific research and development, exploring basic roles and practical impact of advanced information technology on next-generation Web-empowered products, systems, and services. Various web systems and services currently provide many benefits to users, with Web intelligence becoming increasingly important in research and business. Such Web intelligent systems have been realized through related technologies as software engineering, interactive machine learning, etc.

This special issue brings together researchers who have inspired software engineering in Web intelligence. Submissions have been reviewed for relevance, originality, significance, and presentation based on JACIII review criteria. This special issue presents four papers describing outstanding studies on project management, service-oriented architecture, semantic Web technologies, and service composition planning in Web intelligence. All papers introduce promising approaches and interesting results that readers will find highly relevant!

We believe that software engineering in Web Intelligence has tremendous potential as a new, active research field, and we hope this issue will motivate researchers to expand their own studies on software engineering in Web Intelligence.

: pp. 512-522
Integrating Process and Work Breakdown Structure with Design Structure Matrix
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Jonathan Lee, Whan-Yo Deng, Wen-Tin Lee,
Shin-Jie Lee, Kuo-Hsun Hsu, and Shang-Pin Ma
: pp. 523-530
A BPEL-Based Fault-Handling Architecture for Telecom Operation Support Systems
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Ing-Yi Chen, Guo-Kai Ni, Cheng-Hwa Kuo,
and Chau-Young Lin
: pp. 531-539
A Signal-Representation-Based Parser to Extract Text-Based Information from the Web
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Mu-Chun Su, Shao-Jui Wang, Chen-Ko Huang,
Pa-ChunWang, Fu-Hau Hsu, Shih-Chieh Lin,
and Yi-Zeng Hsieh
: pp. 540-548
Using Planning and Case-Based Reasoning for Service Composition
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Chiung-Hon Leon Lee, Alan Liu, and Huan-Hsian Huang

Special Issue on ISIS 2009, Dong-A University, Busan, Korea

: p. 549
ISIS 2009, Dong-A University, Busan, Korea
John-Tark Lee and Gyei Kark Park

The 10th International Symposium on Advanced Intelligent Systems 2009 (ISIS2009) held on August 17-19, 2009, at the Bumin Campus of Dong-A University (http://www.donga.ac.kr/) in Busan, Korea, was sponsored by the Korean Institute of Intelligent System Society (KIIS) and cosponsored technically by the Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT) and the Taiwanese Association for Artificial Intelligence (TAAI).

The international symposium focused on state-of-art accomplishments, innovations, and potential directions in intelligent systems. It also marked an epoch of innovation and the dissemination of research into many interesting fields. Its broad theme covered the latest in technical fields, including artificial intelligence, intelligent systems, Ambient Intelligence (AmI), bioinformatics, information technology, and their wide-ranging applications, from basic theoretical work to practical engineering applications. The 80 featured papers were presented by 120 participants.

With so many papers submitted to JACIII, this special issue consists of just two strictly selected papers. The first, deals with emerging research trends in robotics, proposing a new trajectory generation using the univariate Dynamic Encoding Algorithm for Searches (uDEAS) in the turning of a biped walking robot. The second paper, presenting the latest findings in AmI, details a newly designed and implemented robust capacitive sensor with parasitic parameter modeling over a range of high 200 KHz frequencies based on an Unscented Kalman Filter (UKF) algorithm.

I would like to thank Mr. Kunihiko Uchida, Mr. Shinya Wakai, Ms. Reiko Ohta, and Mr. Shinji Isokawa as editorial staff of Fuji Technology Press for editing these complex manuscripts into their final form. And I really thank to Prof. Kaoru Hirota, Editor-in-Chief of JACIII for inviting me to direct this special issue on ISIS

: pp. 550-554
A New Trajectory Generation Scheme for Direction Turning in Biped Walking
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